@aidotengineer Avatar @aidotengineer AI Engineer

AI Engineer posts on YouTube about ai, agentic, real world, how to the most. They currently have [-------] followers and [---] posts still getting attention that total [------] engagements in the last [--] hours.

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Social Influence

Social category influence technology brands 33.03% stocks 13.76% social networks 10.09% finance 5.5% cryptocurrencies 5.5% travel destinations 4.59% countries 0.92% vc firms 0.92%

Social topic influence ai #5268, agentic #347, real world #156, how to 11.01%, systems #208, future 9.17%, open ai #2436, llm #355, $googl 8.26%, core 7.34%

Top accounts mentioned or mentioned by @aidailybrief @temporalio @anthropic @meta @coatue

Top assets mentioned Alphabet Inc Class A (GOOGL) Braintrust (BTRST) Arista Networks Inc (ANET)

Top Social Posts

Top posts by engagements in the last [--] hours

"How to Build Your Own AI Data Center in [----] Paul Gilbert Arista Networks This presentation talks to AI Executives who are tasked with building self managed AI Networks. It will talk about some new terminology that is used list the key considerations around power to the racks new hardware (GPU servers) and software (workload managers GPU management and programming) that's required there are specific storage requirements multi-tenancy options uptime telemetry and visibility. It will then drill down into the details of the differences between the Data Center networks we build today versus"
YouTube Link 2025-04-27T06:59Z 359K followers, 13.9K engagements

"Hacking Subagents Into Codex CLI Brian John Betterup Subagents are amazing tools for managing context among other things. But Codex CLI doesn't have them. Let's change that Brian John is a Principal Full Stack Engineer with over a decade of experience in technology. He is currently working on using AI to help his R&D team members ship faster and with higher quality. --- Socials: - LinkedIn: https://linkedin.com/in/brianjohn - X (Twitter): https://x.com/brianpjohn - GitHub: https://github.com/f1sherman - Website: https://blog.brianjohn.com - Company: Betterup (https://betterup.com)"
YouTube Link 2025-11-24T20:16Z 359K followers, [----] engagements

"Making Codebases Agent Ready Eno Reyes Factory AI Agents are eating software engineering. Yet teams deploying these tools face mixed results. Agents work great in demos but fail unreliably in production frustrating engineering teams who expected better. The gap isn't model qualityit's environment readiness. Agents need fast feedback loops explicit instructions and predictable environments to work effectively. They break on missing environment variables undocumented dependencies and tribal knowledge that "everyone just knows." What if you could measure and fix what's holding your agents back"
YouTube Link 2025-12-22T17:00Z 360K followers, 39.3K engagements

"3 ingredients for building reliable enterprise agents - Harrison Chase LangChain/LangGraph It's easy to build a prototype of an agent but hard to put an agent in production - especially in an enterprise setting. In this section will talk about three ingredients for building reliable agents in the enterprise. About Harrison Chase Harrison Chase is the CEO and co-founder of LangChain a company formed around the popular open source Python/Typescript packages. The goal of LangChain is to make it as easy as possible to use LLMs to develop context-aware reasoning applications. Prior to starting"
YouTube Link 2025-07-23T15:51Z 359K followers, 52.1K engagements

"No Vibes Allowed: Solving Hard Problems in Complex Codebases Dex Horthy HumanLayer It seems pretty well-accepted that AI coding tools struggle with real production codebases. At AI Engineer [----] in June The Stanford study on AI's impact on developer productivity found: A lot of the ""extra code"" shipped by AI tools ends up just reworking the slop that was shipped last week. Coding agents are great for new projects or small changes but in large established codebases they can often make developers less productive. The common response is somewhere between the pessimist ""this will never work"""
YouTube Link 2025-12-02T22:52Z 359K followers, 326.9K engagements

"AI Kernel Generation: What's working what's not what's next Natalie Serrino Gimlet Labs In this talk we'll talk about how AI generated kernels can meaningfully speed up custom PyTorch code without any human effort. Lots of great frameworks exist to optimize PyTorch with programmatic optimizations such as Triton and MLX. But the strongest AI performance gains come from hand-written low-level kernels that are targeted to the exact device and workload. These are tedious and time-consuming to write especially when supporting multiple platforms. What if we could automate this process with AI We'll"
YouTube Link 2025-12-17T17:00Z 360K followers, [----] engagements

"Your realtime AI is ngmi Sean DuBois (OpenAI) Kwindla Kramer (Daily) Sean DuBois of OpenAI and Pion and Kwindla Hultman Kramer of Daily and Pipecat will talk about why you have to design realtime AI systems from the network layer up. Most people who build realtime AI apps and frameworks get it wrong. They build from either the model out or the app layer down. But unless you start with the network layer and build up you'll never be able to deliver realtime audio and video streams reliably. And perhaps even worse you'll get core primitives wrong: interruption handling conversation state"
YouTube Link 2025-07-31T16:00Z 359K followers, [----] engagements

"Small Bets Big Impact Building GenBI at a Fortune [---] Asaf Bord Northwestern Mutual Enterprises dont usually make moonshots especially in GenAI. Governance budgets and risk aversion make it almost impossible to justify a huge uncertain investment. At Northwestern Mutual were building GenBI an LLM-powered analytics copilot by flipping that logic. Instead of one big bet we created an incremental roadmap of small fundable projects. Each is tied to real business outcomes delivers measurable ROI and builds the trust needed to move forward. This talk shares how we framed the problem earned"
YouTube Link 2025-12-23T17:45Z 360K followers, [----] engagements

"The Future of Evals - Ankur Goyal Braintrust About Ankur Ankur Goyal is the founder & CEO of Braintrustthe developer platform that companies like Zapier Notion Instacart Airtable and more use to evaluate log and ship reliable AI products to millions. He was previously Head of AI platform at Figma founder and CEO of Impira and VP Eng at Singlestore. After Figma acquired Impira he led the AI team there and saw a number of the same blockers to AI development at Impira Figma and other peer companies which led to founding Braintrust Recorded at the AI Engineer World's Fair in San Francisco. Stay"
YouTube Link 2025-08-09T15:12Z 359K followers, [----] engagements

"Anchoring Enterprise GenAI with Knowledge Graphs: Jonathan Lowe (Pfizer) Stephen Chin (Neo4j) As enterprises have embraced GenAI architectures the biggest gap is connecting all of the structured and unstructured datasets across your organization. Knowledge graphs are a natural representation of connected data that allows you to enable higher accuracy and more explainable retrieval using GraphRAG. In this session we will talk about how to build organizational support for a connected data architecture that is the fuel for the current and future GenAI applications of your company. Recorded live"
YouTube Link 2025-04-05T10:01Z 359K followers, 23.6K engagements

"Why Agent Hype can fall short of reality Joel Becker METR AI models are crushing benchmarks. SWE-bench scores are climbing and METR's measured time horizons are rising rapidly. Yet when we deployed these same models in a field study with experienced developers they didn't speed up work. What's going on Are benchmarks misleading us about AI capabilities Are we missing something about how AI performs in the real world In this talk we'll reconcile lab and field evidence on AI capabilities. Drawing from METR's time horizon measurements and developer productivity RCT we'll explore why impressive"
YouTube Link 2025-12-24T16:30Z 360K followers, [----] engagements

"Five hard earned lessons about Evals Ankur Goyal Braintrust The main thesis of the video is that building successful AI applications requires a sophisticated engineering approach that goes beyond simply writing good prompts. The speaker argues for the importance of evaluations (evals) as a core component of the development process highlighting that they should be intentionally engineered to reflect real-world user feedback and drive product improvements. The video also introduces the concept of "context engineering" as the new frontier where the focus is on optimizing the entire context"
YouTube Link 2025-08-22T07:36Z 359K followers, 16.6K engagements

"Katelyn Lesse Evolving Claude APIs for Agents Anthropic Developers are building more and more complex long-running agentic systems. Learn how the Anthropic team is evolving the Claude Developer Platform to enable developers to get the best outcomes from Claude"
YouTube Link 2025-12-04T20:14Z 359K followers, 32.8K engagements

"Building in the Gemini Era Kat Kampf & Ammaar Reshi Google DeepMind A deep dive into the latest capabilities of Google DeepMind's Gemini [--] and the newly released "Nano Banana Pro" image model within Google AI Studio. Kat and Ammaar demonstrate "vibe coding"a new paradigm where complex aesthetic and functional applications are built entirely through natural language prompts. They highlight how Gemini [--] excels at one-shot UI design and agentic tool use while Nano Banana Pro integrates world knowledge and precise text rendering. The session concludes with live demos ranging from personalized"
YouTube Link 2025-12-15T17:19Z 360K followers, 16.7K engagements

"A2A & MCP Workshop: Automating Business Processes with LLMs Damien Murphy Bench Ever wished your webhooks could think for themselves Join us to discover how A2A agents can transform passive webhook endpoints into intelligent workflow processors. In this session we'll show you how to build a system that automatically spawns AI Agents to handle incoming webhooks. Using Google's Agent-to-Agent framework and MCP you'll learn how to create dynamic AI agents that respond to events communicate with external services and make decisions based on content analysis. See the future of workflow automation"
YouTube Link 2025-07-26T14:15Z 359K followers, 25.2K engagements

"Building an Agentic Platform Ben Kus CTO Box Explore the technical evolution of metadata extraction at Box and how it shaped the foundation of our AI platform. Well walk through our transition to an agentic-first designwhy it was necessary how we approached the rebuild challenges we encountered along the way and the advantages it unlocked. Timestamps 00:00 Box's Content Platform and Enterprise Focus 01:50 Initial AI Deployment in [----] 02:54 The Challenge of Unstructured Data in Enterprises 03:56 Limitations of Pre-Generative AI Data Extraction 04:54 First Version: LLM-Based Extraction 07:05"
YouTube Link 2025-08-22T07:27Z 359K followers, 26.1K engagements

"The [--] Pillars of Autonomy Michele Catasta Replit AI agents exhibit vastly different degrees of autonomy. Yet the ability to accomplish objectives without supervision is the critical north star for agent progress especially in software creation. For non-technical users who cannot supervise software creation full autonomy is essential not optional. First of all I will discuss two foundational capabilities to achieve true autonomy: automatic testing to verify correctness without human validation and advanced context management to maintain coherence across complex long-horizon tasks. With"
YouTube Link 2025-12-22T16:30Z 360K followers, [----] engagements

"Evals [---] Doug Guthrie Braintrust This hands-on workshop guides participants through the full AI evaluation lifecycle with Braintrust from initial prompt testing to production monitoring. Attendees will build evaluation frameworks practice offline and online strategies and implement logging systems. About Doug Guthrie Doug Guthrie is a solutions engineer at Braintrust. Previously he helped customers deploy data infrastructure at dbt Labs. He is also a proud girl dad. Recorded at the AI Engineer World's Fair in San Francisco. Stay up to date on our upcoming events and content by joining our"
YouTube Link 2025-06-27T10:53Z 359K followers, 20.5K engagements

"Efficient Reinforcement Learning Rhythm Garg & Linden Li Applied Compute Reinforcement learning (RL) is a powerful mechanism for building agents that are superhuman and specialized in particular tasks. At Applied Compute RL is one of the fundamental building blocks that enables us to deliver automations and real business value for customers. Effective RL training often involves several iterative derisking runs to better understand learning dynamics with different base models and then doing hero runs with the best configurations. If done naively this can be very time-consuming and expensive."
YouTube Link 2025-12-09T15:51Z 360K followers, [----] engagements

"Code World Model: Building World Models for Computation Jacob Kahn FAIR Meta Today most neural models for code learn from code itself: sequences of tokens that capture syntax rather than computation. While this allows models to learn the shape of code true reasoning about programs requires understanding execution and the dynamics of computation. In this talk Ill present a world-model approach to learning from code: one that incorporates data from program execution to implicitly predict behavior while generating code. The Code World Model (CWM) embodies this paradigm opening new capabilities"
YouTube Link 2025-12-17T17:00Z 360K followers, [----] engagements

"POC to PROD: Hard Lessons from 200+ Enterprise GenAI Deployments - Randall Hunt Caylent The transition from experimental GenAI demonstrations to robust production-grade systems involves significant technical and organizational complexities. Humans provide a ceiling on the true ROI of automations. This session synthesizes key patterns and practical strategies gathered from more than [---] GenAI implementations across multiple industries and business sizes. Beyond the general lessons that apply to most products leveraging GenAI we'll cover detailed observations within three application areas:"
YouTube Link 2025-07-23T15:50Z 359K followers, 39.9K engagements

"Your Personal Open-Source Humanoid Robot for $8999 JX Mo K-Scale Labs Introducing developer ready robots that are open-source affordable and easy to use. https://www.kscale.dev/ About Jingxiang Mo Jingxiang Mo is a founding engineer at K-Scale Labs where he leads the fast-moving open-source development of general-purpose humanoid robots. His work spans the full stackfrom training end-to-end reinforcement-learning policies on in-house infrastructure to building the robot operating system and shipping mass-manufactured hardware such as the [--] feet tall K-Bot and [---] feet tall Z-Bot humanoid"
YouTube Link 2025-07-02T23:40Z 359K followers, 40.8K engagements

"AGI: The Path Forward Jason Warner & Eiso Kant Poolside In Poolside's first ever public conference demo Poolside's CEOs present their vision and roadmap towards achieving AGI-level capabilities for knowledge work"
YouTube Link 2025-12-27T23:13Z 360K followers, [----] engagements

"Amp Code: Next Generation AI Coding Beyang Liu Amp Code Introduction to Amp Code and its approach to AI-powered software development. Speaker: Beyang Liu Co-founder & CTO Amp Code https://x.com/beyang https://www.linkedin.com/in/beyang-liu/ https://github.com/beyang Timestamps: 00:00 Introduction & The "Weird" Ethos 01:19 Amp Terminal UI & Editor Integration 03:02 The "Review Bottleneck" & Review Interface 03:57 Defining an Agent: For Loops & Tool Calls 04:46 The Argument Against MCP (Context Confusion) 06:04 Tool Call Context Exhaustion 14:51 Business Model: Ads in the Terminal 15:38"
YouTube Link 2025-12-22T17:00Z 360K followers, 42K engagements

"Waymo's EMMA: Teaching Cars to Think - Jyh Jing Hwang Waymo This session explores Waymo's latest research on the End-to-End Multimodal Model for Autonomous Driving (EMMA) and advanced sensor simulation techniques. Jyh-Jing Hwang will demonstrate how multimodal large language models like Gemini could improve autonomous driving through unified end-to-end architectures that process raw sensor data directly into driving decisions. The presentation will showcase EMMA's state-of-the-art performance in trajectory planning 3D object detection and road graph understanding as well as another Drive&Gen"
YouTube Link 2025-07-26T17:00Z 360K followers, [----] engagements

"Minimax M2: Building the #1 Open Model Olive Song MiniMax Introducing Minimax's latest AI model and its applications in code generation. Speaker: Olive Song Senior Researcher MiniMax https://x.com/olive_jy_song"
YouTube Link 2025-12-13T17:15Z 360K followers, 90.6K engagements

"DSPy: The End of Prompt Engineering - Kevin Madura AlixPartners Applications developed for the enterprise need to be rigorous testable and robust. The same is true for applications that use AI but LLMs can make this challenging. In other words you need to be able to program with LLMs not just tweak prompts. In this talk we'll cover why DSPy really is all you need in building applications with LLMs. We'll dive into real-world examples where we have successfully automated manual work using an opinionated DSPy-first approach to structuring applications covering everything from simple modules to"
YouTube Link 2026-01-08T20:48Z 360K followers, 35.9K engagements

"Shipping AI That Works: An Evaluation Framework for PMs Aman Khan Arize GenAI is reshaping the product landscape creating huge opportunities (along with new expectations) for product managers. Yet while prompt engineering and model tuning get the spotlight one critical skill can get overlooked: rigorous evaluation. This talk will help PMs move beyond gut-feel vibe checks to adopt concrete repeatable evaluation strategies for LLM-powered products. I'll break down essential eval methodologies from human feedback and code-based checks to cutting-edge LLM-based evaluations. Drawing on real-world"
YouTube Link 2025-12-26T22:06Z 360K followers, 11.7K engagements

"2026: The Year The IDE Died Steve Yegge & Gene Kim Authors Vibe Coding As AI has grown more capable software developers around the world have lagged behind the technology advances and have consistently eschewed the most powerful tools. In this talk I explore why devs are staying 9-12 months behind the AI curve. I'll share a preview of what 2026's AI coding tools will be like and paint a vision of where we go from here. Speakers: * Steve Yegge Engineering Leader Sourcegraph/Amp https://x.com/Steve_Yegge https://www.linkedin.com/in/steveyegge/ * Gene Kim Author & Researcher IT Revolution"
YouTube Link 2025-12-06T16:30Z 360K followers, 48.5K engagements

"Strategies for LLM Evals (GuideLLM lm-eval-harness OpenAI Evals Workshop) Taylor Jordan Smith Accuracy scores and leaderboard metrics look impressivebut production-grade AI requires evals that reflect real-world performance reliability and user happiness. Traditional benchmarks rarely help you understand how your LLM will perform when embedded in complex workflows or agentic systems. How can you realistically and adequately measure reasoning quality agent consistency MCP integration and user-focused outcomes In this practical example-driven talk we'll go beyond standard benchmarks and dive"
YouTube Link 2025-07-27T16:15Z 359K followers, 11.7K engagements

"12-Factor Agents: Patterns of reliable LLM applicationsDex Horthy HumanLayer Hi I'm Dex. I've been hacking on AI agents for a while. I've tried every agent framework out there from the plug-and-play crew/langchains to the "minimalist" smolagents of the world to the "production grade" langraph griptape etc. I've talked to a lot of really strong founders who are all building really impressive things with AI. Most of them are rolling the stack themselves. I don't see a lot of frameworks in production customer-facing agents. I've been surprised to find that most of the products out there billing"
YouTube Link 2025-07-03T20:50Z 359K followers, 261.8K engagements

"The New Code Sean Grove OpenAI In an era where AI transforms software development the most valuable skill isn't writing code - it's communicating intent with precision. This talk reveals how specifications not prompts or code are becoming the fundamental unit of programming and why spec-writing is the new superpower. Drawing from production experience we demonstrate how rigorous versioned specifications serve as the source of truth that compiles to documentation evaluations model behaviors and maybe even code. Just as the US Constitution acts as a versioned spec with judicial review as its"
YouTube Link 2025-07-11T16:00Z 360K followers, 1.1M engagements

"Your MCP Server is Bad (and you should feel bad) - Jeremiah Lowin Prefect Too many MCP servers are simply glorified REST wrappers regurgitating APIs that were designed for SDKs not agents. This leads to confused LLMs wasted tokens and demonstrably poor performance. If you've ever pointed an MCP generator at an OpenAPI spec and called it a day this talk is your intervention. Like any product great MCP servers are the result of careful design. This talk shares the hard-won lessons from creating FastMCP the most popular framework for building MCP servers (and yes for generating them too). The"
YouTube Link 2026-01-12T18:00Z 360K followers, 13.1K engagements

"Mastering LLM Inference Optimization From Theory to Cost Effective Deployment: Mark Moyou LLM inference is not your normal deep learning model deployment nor is it trivial when it comes to managing scale performance and COST. Understanding how to effectively size a production grade LLM deployment requires understanding of the model(s) the compute hardware quantization and parallelization methods KV Cache budgets input and output token length predictions model adapter management and much more. If you want to deeply understand these topics and their effects on LLM inference cost and performance"
YouTube Link 2025-01-01T17:37Z 359K followers, 33.2K engagements

"Rise of the AI Architect Clay Bavor Cofounder Sierra w/ Alessio Fanelli As the amount of consumer facing AI products grows the most forward leaning enterprises have created a new role: the AI Architect. These leaders are responsible for helping define manage and evolve their company's AI agent experiences over time. In this session Clay Bavor (Cofounder of Sierra) will join Alessio Fanelli (co-host of Latent Space) in a fireside chat to share what it means to be an AI Architect success stories from the market and the future of the role. Timestamps 00:00 Introduction to Sierra and its mission"
YouTube Link 2025-07-24T16:45Z 359K followers, 45K engagements

"Don't Build Agents Build Skills Instead Barry Zhang & Mahesh Murag Anthropic In the past year we've seen rapid advancement of model intelligence and convergence on agent scaffolding. But there's still a gap: agents often lack the domain expertise and specialized knowledge needed for real-world work. We think Skills are the solutiona minimal form factor for packaging procedural knowledge that agents can dynamically load. It's a portable composable approach to giving one agent capabilities across domains. In this talk we'll share how we built Skills at Anthropic the network effects we're"
YouTube Link 2025-12-08T17:30Z 360K followers, 661.5K engagements

"Agentic GraphRAG: Simplifying Retrieval Across Structured & Unstructured Data Zach Blumenfeld Agentic workflows often become complex brittle and hard to maintain when they need to retrieve and reason across both structured data (typically requiring precise query execution) and unstructured data (commonly handled via vector search in RAG). In this talk well explore how mapping key information into a knowledge graph can simplify these workflows and improve retrieval quality. Youll learn core concepts behind GraphRAG how to integrate it into agent tools and get access to end-to-end code examples"
YouTube Link 2025-06-27T09:44Z 359K followers, 11.4K engagements

"How We Build Effective Agents: Barry Zhang Anthropic Recorded live at the Agent Engineering Session Day from the AI Engineer Summit [----] in New York. Learn more at https://ai.engineer and purchase tickets to our next event the AI Engineer World's Fair in SF June [--] - [--] here: https://ti.to/software-3/ai-engineer-worlds-fair-2025 About Barry: Barry is a member of technical staff on Anthropic's Applied AI team focusing on developing agentic systems with enterprises and startups. Previously he was a tech lead on the Monetization genAI team at Meta where he claimed the inaugural 'AI Engineer'"
YouTube Link 2025-04-04T18:46Z 359K followers, 406.6K engagements

"Defying Gravity - Kevin Hou Google DeepMind Why we built Google Antigravity and discussing the future of agentic IDEs with Gemini [--]. Speaker: https://x.com/kevinhou22 AIE is coming to London and SF see dates and sign up to be notified of sponsorships CFPs and tickets: https://ai.engineer Timestamps: 00:00 Intro & Anti-gravity Launch 01:26 Anti-gravity Product Overview (Three Surfaces) 02:16 Agent Manager & Editor Integration 03:13 Agent-Controlled Browser & Context Retrieval 05:51 Philosophy: Model Capabilities Driving Product Paradigms 07:03 Four Categories of Improvements (Intelligence"
YouTube Link 2025-12-02T22:51Z 359K followers, 103.4K engagements

"Spec-Driven Development: Agentic Coding at FAANG Scale and Quality Al Harris Amazon Kiro In the AI coding era we have powerful tools but tools still require honing to work effectively. Spec-Driven Development allows for reproducible and reliable delivery but spending time up-front to improve the spec process will yield the best approach. Learn how the Kiro team does this and how you can too https://www.linkedin.com/in/al-harris-7a755640/"
YouTube Link 2026-01-09T15:15Z 360K followers, 24.6K engagements

"Hard Won Lessons from Building Effective AI Coding Agents Nik Pash Cline Most of whats written about AI agents sounds great in theory until you try to make them work in production. The seductive ideas (multi-agent orchestration RAG prompt stacking) often collapse under real-world constraints. Why Because they optimize for the wrong thing. In this talk Nik Pash shares hard-won lessons from building large-scale coding agents at Cline what failed what survived and why the next leap forward wont come from clever scaffolds but from evals and environments that truly measure and improve reasoning."
YouTube Link 2025-12-12T15:00Z 360K followers, 18.3K engagements

"Intro to GraphRAG Zach Blumenfeld Learn the foundations of GraphRAG starting with knowledge graph construction and then common retrieval patterns. --- GraphRAG has gone from nice-to-have to essential as AI solutions have increased in sophistication. This workshop will get you started answering: - what is GraphRAG and when do I need it - what's the best way to construct a knowledge graph - how do I combine unstructured and structured data - how do I retrieve the right information About Zach Blumenfeld Zach Blumenfeld is a Data Science Product Specialist at Neo4j who helps empower the market"
YouTube Link 2025-06-30T22:56Z 359K followers, 27.1K engagements

"Reinforcement Learning for Agents - Will Brown ML Researcher at Morgan Stanley Recorded live at the Agent Engineering Session Day from the AI Engineer Summit [----] in New York. Learn more at https://ai.engineer and purchase tickets to our next event the AI Engineer World's Fair in SF June [--] - [--] here: https://ti.to/software-3/ai-engineer-worlds-fair-2025 About Will Hi Im a machine learning researcher based in New York City. I am a member of Morgan Stanleys Machine Learning Research group where I have been primarily working on projects related to language models and sequential prediction. I"
YouTube Link 2025-03-07T16:45Z 359K followers, 110.3K engagements

"From Vibe Coding To Vibe Engineering Kitze Sizzy Web development has always moved in cycles of hype from frameworks to tooling. With the rise of large language models we're entering a new era of "vibe coding" where developers shape software through collaboration with Al rather than syntax. This talk explores what that means for the future of coding especially in frontend development and how it echoes the past while redefining what comes next. Speaker: Kitze Founder Sizzy https://x.com/thekitze"
YouTube Link 2025-12-14T17:00Z 360K followers, 86.6K engagements

"Jack Morris: Stuffing Context is not Memory Updating Weights is Understanding how memory works in large language models through the lens of weights and activations. This workshop will explore the internal mechanisms of how LLMs store and retrieve information during inference. https://x.com/jxmnop Summary Jack Morris discusses the limitations of current Large Language Models (LLMs) in handling niche "long-tail" knowledge that falls outside their training data or within knowledge cutoffs. He critiques the reliance on massive context windows and Retrieval Augmented Generation (RAG) due to"
YouTube Link 2025-12-29T19:39Z 360K followers, 22.8K engagements

"Can you prove AI ROI in Software Eng (Stanford 120k Devs Study) Yegor Denisov-Blanch Stanford Youre investing millions in AI for software engineering. Can you prove its paying off Benchmarks show models can write code but in enterprise deployments ROI is hard to measure easy to bias and often distorted by activity metrics (PR counts DORA) that say more without proving better. Drawing on field data from 120k+ developers across 600+ companies Ill show exactly where AI helps the most and how to measure the ROI of your software engineering AI deployment. Well unpack why identical tools deliver 0%"
YouTube Link 2025-12-11T21:56Z 360K followers, 31K engagements

"Dispatch from the Future: building an AI-native Company Dan Shipper Every AI & I The central thesis is that there is a "10x difference" between an organization where 90% of engineers use AI versus one where 100% do. At 100% adoption the fundamental physics of software engineering change: a single developer can build and maintain complex production apps managers can meaningfully contribute to code and the organization can move from a "memo culture" to a "demo culture." He introduces the concept of "Compounding Engineering"where every feature built creates artifacts and agents that make"
YouTube Link 2025-12-18T18:00Z 360K followers, 51.5K engagements

"Ensure AI Agents Work: Evaluation Frameworks for Scaling Success Aparna Dhinkaran CEO Arize Turning AI agents into reliable production-ready tools that deliver tangible business results requires more than just great models. It demands robust evaluation frameworks that ensure agents perform at scale align with organizational objectives and continuously improve in dynamic environments. This session provides an executive-level perspective on evaluating AI agents at scale. Well explore practical strategies for designing evaluation processes that drive measurable impact identifying and mitigating"
YouTube Link 2025-04-23T16:00Z 359K followers, 32K engagements

"Full Workshop Reinforcement Learning Kernels Reasoning Quantization & Agents Daniel Han Why is Reinforcement Learning (RL) suddenly everywhere and is it truly effective Have LLMs hit a plateau in terms of intelligence and capabilities or is RL the breakthrough they need In this workshop we'll dive into the fundamentals of RL what makes a good reward function and how RL can help create agents. We'll also talk about kernels are they still worth your time and what you should focus on. And finally well explore how LLMs like DeepSeek-R1 can be quantized down to 1.58-bits and still perform well"
YouTube Link 2025-07-19T21:23Z 359K followers, 107.5K engagements

"Leadership in AI Assisted Engineering Justin Reock DX (acq. Atlassian) To realize meaningful returns on AI investments leadership must take accountability and ownership of establishing best practices enabling engineers measuring impact and ensuring proper guardrails are in place. When prompting practice and reflexive AI use is driven from the top down engineers can align on the highest value use cases and experience peak productivity gains. When coupled with DX's AI Measurement Framework leaders can gain a clear picture of AI's true impact identify the real bottlenecks in the SDLC that can be"
YouTube Link 2025-12-19T18:14Z 360K followers, [----] engagements

"What We Learned Deploying AI within Bloombergs Engineering Organization Lei Zhang Bloomberg When it comes to using AI for software engineering much of the spotlight falls on how large language models (LLMs) can write codesometimes entirely from scratch. Countless studies highlight productivity gains from turning requirements directly into runnable code. But the reality of applying AI at scale inside a mature engineering organization is far more complex and nuanced. Over the past year weve been on that journey at Bloombergintegrating AI into the workflows of 9000+ software engineersand weve"
YouTube Link 2025-12-16T15:00Z 360K followers, 15K engagements

"How Claude Code Works - Jared Zoneraich PromptLayer Deep dive into what we have independently figured out about the architecture and implementation of Claude's code generation capabilities. Not officially endorsed by Anthropic. Speaker: Jared Zoneraich Founder & CEO PromptLayer https://x.com/imjaredz https://www.linkedin.com/in/imjaredz https://imjaredz.com/ Jared Zoneraich from PromptLayer dissects the architecture of "Claude Code" (Anthropic's CLI agent) arguing that its success stems not from complex agentic frameworks but from a radical simplification: a single-threaded "Master Loop""
YouTube Link 2025-12-26T22:04Z 360K followers, 70.4K engagements

"Moving away from Agile: What's Next Martin Harrysson & Natasha Maniar McKinsey & Company Most enterprises are not capturing much value from AI in software dev to date (at least relative to the potential). The reason is that most are adding AI tools to their dev teams without changing the people and operating model aspects (i.e. limited changes to ways of working team configurations role definitions stage gates etc.). Many core aspects of software development havent changed in the past 10+ years and thats holding us back from moving to the new paradigm of software development We will share"
YouTube Link 2025-12-12T17:00Z 360K followers, 74.5K engagements

"Build a Prompt Learning Loop - SallyAnn DeLucia & Fuad Ali Arize Following from Aparna's talk: https://www.youtube.com/watchv=pP_dSNz_EdQ Learn how to create a feedback loop to continuously improve your AI prompts and responses. https://www.linkedin.com/in/sallyann-delucia-59a381172/"
YouTube Link 2026-01-06T17:30Z 360K followers, [----] engagements

"Building Production-Ready RAG Applications: Jerry Liu Large Language Models (LLM's) are starting to revolutionize how users can search for interact with and generate new content. Some recent stacks and toolkits around Retrieval Augmented Generation (RAG) have emerged where users are building applications such as chatbots using LLMs on their own private data. This opens the door to a vast array of applications. However while setting up a naive RAG stack is easy productionizing it is hard. In this talk we talk about core techniques for evaluating and improving your retrieval systems for better"
YouTube Link 2023-11-15T19:46Z 359K followers, 411K engagements

"Claude Agent SDK Full Workshop Thariq Shihipar Anthropic Learn to use Anthropic's Claude Agent SDK (formerly Claude Code SDK) for AI-powered development workflows https://platform.claude.com/docs/en/agent-sdk/overview https://x.com/trq212 AI Summary This workshop by Thariq Shihipar (Anthropic) details the architecture and implementation of the Claude Agent SDK. The session moves from high-level theorydefining "agents" as autonomous systems that manage their own context and trajectoryto a live-coding demonstration. Shihipar builds an agent "Harness" from scratch implementing the core"
YouTube Link 2026-01-05T17:00Z 360K followers, 76K engagements

"Practical GraphRAG: Making LLMs smarter with Knowledge Graphs Michael Jesus and Stephen Neo4j RAG has become one standard architecture component for GenAI applications to address hallucinations and integrate factual knowledge. While vector search over text is common knowledge graphs represent a proven advancement by leveraging advanced RAG patterns to access and integrate interconnected factual information complementing the language skills of LLMs. This talk explores GraphRAG challenges implementation patterns and real-world agentic examples with Google's ADK demonstrating how this approach"
YouTube Link 2025-07-22T17:59Z 359K followers, 34.8K engagements

"When Vectors Break Down: Graph-Based RAG for Dense Enterprise Knowledge - Sam Julien Writer Enterprise knowledge bases are filled with "dense mapping" thousands of documents where similar terms appear repeatedly causing traditional vector retrieval to return the wrong version or irrelevant information. When our customers kept hitting this wall with their RAG systems we knew we needed a fundamentally different approach. In this talk I'll share Writer's journey developing a graph-based RAG architecture that achieved 86.31% accuracy on the RobustQA benchmark while maintaining sub-second response"
YouTube Link 2025-07-22T16:30Z 359K followers, 33.6K engagements

"RL Environments at Scale Will Brown Prime Intellect Scaling reinforcement learning environments for training advanced AI coding models. https://twitter.com/willccbb AIE is coming to London and SF see dates and sign up to be notified of sponsorships CFPs and ticketsa: https://ai.engineer"
YouTube Link 2025-12-09T15:53Z 360K followers, [----] engagements

"How Windsurf writes 90% of your code with an Agentic IDE - Kevin Hou Windsurf Recorded live at the Agent Engineering Session Day from the AI Engineer Summit [----] in New York. Learn more at https://ai.engineer and purchase tickets to our next event the AI Engineer World's Fair in SF June [--] - [--] here: https://ti.to/software-3/ai-engineer-worlds-fair-2025 About Kevin Kevin is the head of product engineering at Codeium where he builds AI-powered developer tools. He has spent much of his career in AI previously working as a tech lead manager at the Nuro an autonomous vehicle startup as well as"
YouTube Link 2025-03-11T19:17Z 359K followers, 82.5K engagements

"Building and evaluating AI AgentsSayash Kapoor AI Snake Oil Is [----] the year of AI agents Will reasoning models allow agents to solve challenging open problems From software engineering to web task automation it has been claimed that agents will solve challenging open problems. Unfortunately current agents suffer from many shortcomings that reduce their utility in real-world tasks look no further than Rabbit R1 and the Humane Pin. In this talk we will explore how current agents fall far short of their claimed performance in the real world and understand best practices for improving agent"
YouTube Link 2025-04-17T16:00Z 359K followers, 222.1K engagements

""I shipped code I don't understand and I bet you have too" Jake Nations Netflix In [----] the term ""Software Crisis"" emerged when systems grew beyond what developers could manage. Every generation since has ""solved"" it with more powerful tools only to create even bigger problems. Today AI accelerates the pattern into the Infinite Software Crisis. AI-generated codebases mirror the meandering conversations that created them. Every clarification and pivot gets baked into your architecture. We're vibecoding our way to disaster. The solution: choose simple over easy. One long conversation is"
YouTube Link 2025-12-20T17:00Z 360K followers, 284.4K engagements

"AI Consulting in Practice NLW Superintelligent @AIDailyBrief Insights from consulting on AI implementation across various organizations. Speaker: NLW Host AI Daily Brief & CEO Super.ai https://x.com/nlw https://www.youtube.com/@AIDailyBrief"
YouTube Link 2025-12-18T17:00Z 360K followers, 27.2K engagements

"Building Cursor Composer Lee Robinson Cursor Learn about the infrastructure training and evaluations used to build Cursor Composer our first coding model. (https://cursor.com/blog/2-0) Speaker: https://x.com/leerob AIE is coming to London and SF see https://ai.engineer for dates and sign up to be notified Timestamps 00:00 Introduction to Cursor Composer 01:10 The "Fast vs. Smart" Trade-off 03:17 System Architecture & Tooling 04:33 Scaling Challenges: Consistency & Burstiness 05:50 Infrastructure Solutions & Custom Kernels 08:12 Co-designing Cloud Agents & Training Infra 09:39 The Power of"
YouTube Link 2025-12-02T22:30Z 359K followers, 22.3K engagements

"Building AI Agents that actually automate Knowledge Work - Jerry Liu LlamaIndex Agents are all the rage in [----] and every single b2b SaaS startup/incumbent promises AI agents that can "automate work" in some way. But how do you actually build this The answer is two fold: [--]. really really good tools [--]. carefully tailored agent reasoning over these tools that range from assistant-to-automation based UXs. The main goal of this talk is to a practical overview of agent architectures that can automate real-world work with a focus on document-centric tasks. Learn the core building blocks of"
YouTube Link 2025-06-24T00:16Z 359K followers, 122.4K engagements

"OpenAI + @Temporalio : Building Durable Production Ready Agents - Cornelia Davis Temporal Everyone is building AI Agents and everyone is looking for ways to build them more easily. Earlier this year OpenAI released the OpenAI Agents SDK to bring the patterns they have found to work for building agents to the developer community. With the SDK you can define AI agents by supplying them instructions (prompts) specifying which model to use (OpenAI or not) listing tools it uses (including MCP) and much more. The OpenAI Agents SDK encourages a paradigm of orchestrated micro-agents which themselves"
YouTube Link 2026-01-11T12:28Z 360K followers, 19.4K engagements

"Vercel AI SDK Masterclass: From Fundamentals to Deep Research Full workshop presented by Nico Albanese from Vercel at the [----] AI Engineer Summit in New York Feb 2025: https://x.com/nicoalbanese10 and https://github.com/nicoalbanese workshop content/guidebook: https://aie-feb-25.vercel.app/docs Organizers note: We somehow screwed up and experienced a total loss of the original workshop video. Nico was incredibly gracious about it and rerecorded the whole thing for you thank you Nico Please give him a shoutout: https://x.com/nicoalbanese10"
YouTube Link 2025-04-20T21:39Z 359K followers, 36.4K engagements

"Building durable Agents with Workflow DevKit & AI SDK - Peter Wielander Vercel Learn to build and deploy AI agents using Vercel's new open source Workflows platform. https://twitter.com/vaguelyserious https://www.linkedin.com/in/peter-wielander"
YouTube Link 2026-01-06T16:00Z 360K followers, [----] engagements

"GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem A famous poet once said "Natural language is most powerful when it can draw from a rich context." Ok fine I said that. But that's true of both poetry and of LLMs Well Knowledge Graphs excel at capturing context. How can combining Knowledge Graphs with RAG an emerging technique known as GraphRAG give context to your RAG application and lead to more accurate and complete results accelerated development and explainable AI decisions This talk will go deep on the why and how of GraphRAG and where best to apply it. Youll get concepts"
YouTube Link 2024-08-28T18:57Z 359K followers, 247.6K engagements

"Lessons from the Trenches: Building LLM Evals That Work IRL: Aparna Dhinkaran With nearly two-thirds of enterprise developers planning production deployments of large language models this year LLM evaluation has never been more important. LLM evaluation is also an area where confusion reigns starting with ambiguity around what LLM evals even means. Often LLM model evaluation quantifying general fitness (i.e. on the Hugging Face leaderboard) is conflated with task-specific LLM system evaluation. And while many foundation model providers offer their own evals AI engineers building LLM systems"
YouTube Link 2025-02-06T09:24Z 359K followers, 11.6K engagements

"AI changes Nothing Dax Raad OpenCode Everyone says AI changes everything. Dax Raad argues that when it comes to building a winning product AI changes nothing. In this contrarian talk Dax breaks down why the fundamental challenges of product success: marketing onboarding and retention remain stubbornly human problems that AI cannot solve. He argues that while AI can generate content it cannot generate cool. While it can write code it cannot design the deep primitives required for long term retention. Key Takeaways: - Marketing is about Cool: You need to create things that people feel"
YouTube Link 2025-11-23T19:44Z 359K followers, 52.8K engagements

"From Arc to Dia: Lessons learned building AI Browsers Samir Mody The Browser Company of New York What happens when you take a polished beloved browser and rebuild it from the ground up around AI In [----] The Browser Company did exactly that: transforming Arc a human-designed browser into Dia a browser with an AI-native browser experience. The journey forced us to unlearn what we knew about product design system architecture and even what "good UX" means when the interface itself can reason plan and act. In this talk I'll share the lessons we learned along the way: how we redesigned for"
YouTube Link 2025-12-19T18:15Z 360K followers, [----] engagements

"The Unreasonable Effectiveness of Prompt Learning Aparna Dhinakaran Arize Your coding agent writes codebut not like your team. RL has boosted base models but its opaque and hard to scale across enterprises. Most agents still rely on brittle hand-edited system prompts or style guides (e.g. agent.md)what if your agent learned from your reviews and updated them automatically In this talk Ill show a system-prompt learning loopRL techniques applied to prompts not model weightsthat continually tunes an agents.md so the agent learns instructions from your PR's feedback & evaluations. Youll leave"
YouTube Link 2025-12-23T17:00Z 359K followers, 14.9K engagements

"Developer Experience in the Age of AI Coding Agents Max Kanat-Alexander Capital One It feels like every two weeks the world of software engineering is being turned on its head. Are there any principles we can rely on that will continue to hold true and that can help us prepare for the future no matter what happens Max uses research data and his 20+ years working in enterprise Developer Experience teams to talk through what we can do now that will prepare us for an agentic future no matter what that future holds. Speaker: Max Kanat-Alexander Executive Distinguished Engineer Capital One"
YouTube Link 2025-12-23T17:30Z 360K followers, 19.6K engagements

"Automating Large Scale Refactors with Parallel Agents - Robert Brennan OpenHands Today's agents are best at small atomic coding tasks. Much larger tasks--like major refactors and breaking dependency updates--are highly automatable but hard to one-shot. In this session we'll discuss patterns for orchestrating large-scale code changes with swarms of agents and a human in the loop. We'll also work through a concrete example: migrating an entire codebase from one React state management library to another. https://twitter.com/RobertBrennan Slides: https://dub.sh/openhands-workshop"
YouTube Link 2026-01-08T16:30Z 360K followers, [----] engagements

"The State of AI Code Quality: Hype vs Reality Itamar Friedman Qodo AI is making code generation nearly effortless but the critical question remains: can we trust AI-generated code for software that truly matters Has it really become easier to build robust high-quality systems In this talk well separate hype from reality. Drawing on the State of AI Code Quality report well explore where AI tools excel where they fall short and which evaluation frameworks actually matter. Well unpack benchmarks pitfalls and lessons learned from deploying AI in real-world engineering workflows. Attendees will"
YouTube Link 2025-12-11T21:58Z 360K followers, 21.8K engagements

"Does AI Actually Boost Developer Productivity (100k Devs Study) - Yegor Denisov-Blanch Stanford Forget vendor hype: Is AI actually boosting developer productivity or just shifting bottlenecks Stop guessing. Our study at Stanford cuts through the noise analyzing real-world productivity data from nearly [------] developers across hundreds of companies. We reveal the hard numbers: while the average productivity boost is significant (20%) the reality is complex some teams even see productivity decrease with AI adoption. The crucial insights lie in why this variance occurs. Discover which company"
YouTube Link 2025-07-23T17:00Z 359K followers, 298.3K engagements

"Proactive Agents Kath Korevec Google Labs Speaker: Kath Korevec Director of Product Google Labs https://x.com/simpsoka https://www.linkedin.com/in/kathleensimpson/"
YouTube Link 2025-12-13T04:44Z 360K followers, 34.6K engagements

"AIE CODE Day 2: ft Google Deepmind Anthropic Cursor Netflix Cline OpenAI Meta and METR NOVEMBER [--] - all times in EST * 9:06 am Opening Remarks Swyx Organizer AI Engineer * 9:11 am Stop Building Agents Barry Zhang AI Engineer Anthropic Mahesh Murag AI Engineer Anthropic * 9:31 am No Vibes Allowed: Solving Hard Problems in Complex Codebases Dex Horthy Founder HumanLayer * 9:51 am Building a fast frontier model with RL Lee Robinson Head of DX Cursor * 10:11 am From Code Snippets to Codebases: Then Now and Whats Next for Coding Evals Naman Jain Engineering Cursor * 11:00 am Code World Model:"
YouTube Link 2025-11-21T23:10Z 359K followers, 50.7K engagements

"Building Intelligent Research Agents with Manus - Ivan Leo Manus AI (now Meta Superintelligence) AI agents are no longer confined to chat interfaces. From our original Manus app for powerful conversations to Mail Manus for transforming your inbox into an organized command center we've progressively expanded where an AI can work. Now with the Manus API we're completing the vision by giving you the final building block to deploy an intelligent agent anywhere in your stack. In this workshop you'll learn to use the API to build a bespoke research agent that powers deep analysis across your"
YouTube Link 2025-12-30T04:07Z 360K followers, 18.4K engagements

"Paying Engineers like Salespeople Arman Hezarkhani Tenex Most software teams still run on an outdated unit of measure: hours days years. That single choice misaligns every incentiveclients want fewer engineers want more and everyone loses speed. At Tenex we threw the hourly model out and built an outcome-based system where we pay and charge per story point tying incentives directly to shipped value. In this talk Ill break down exactly how it worksthe math the cultural shifts the AI tooling that makes it possible and the results weve seen across real client projects. Youll leave with a"
YouTube Link 2025-12-19T17:00Z 360K followers, [----] engagements

"Evals Workshop Mastering AI Evaluation: From Playground to Production This hands-on workshop will guide participants through the complete AI evaluation lifecycle using Braintrust from initial prompt testing to production monitoring. Attendees will learn to build evaluation frameworks that ensure their AI applications perform reliably in real-world scenarios. Topics covered include both offline and online evaluation strategies logging and feedback systems and human review processes. Recorded at the AI Engineer World's Fair in San Francisco. Stay up to date on our upcoming events and content by"
YouTube Link 2025-07-01T04:43Z 359K followers, 13.9K engagements

"The emerging skillset of wielding coding agents Beyang Liu Sourcegraph / Amp It's raining coding agents But while many are saying they're feeling the AGI others say they're not that useful for serious programming. How much is hype and how much is a skill issue We'll share empirical observations that help explain the divergence of developer opinion. And we'll cover emergent strategies uncovered by users of Amp a new coding agent in research preview that can help you employ agents to complete more complex tasks in production codebases. About Beyang Liu Beyang is the co-founder and CTO of"
YouTube Link 2025-06-30T22:54Z 354K followers, 23.2K engagements

"Navigating AIs Frontier in [----] - Grace Isford Lux Capital Lux Capital Partner Grace Isford discusses the AI Frontier in NYC sharing [--] 'hot takes' on where the industry is going from a technical perspective. She covers key considerations for technical leaders building agentic systems as well as the second-degree implications of LLMs for human behavior. Recorded live at the Leadership Track Session Day from the AI Engineer Summit [----] in New York. Learn more at https://ai.engineer and purchase tickets to our next event the AI Engineer World's Fair in SF June [--] - [--] here:"
YouTube Link 2025-03-13T17:06Z 359K followers, [----] engagements

"Pipecat Cloud: Enterprise Voice Agents Built On Open Source - Kwindla Hultman Kramer Daily Voice AI agents today can conduct natural human-like conversations and perform a wide variety of tasks: customer support lead qualification healthcare patient intake market research and more. Today's best voice agents combine: realtime responsiveness open-ended conversational intelligence reliable instruction following and flexible integration with existing back-end systems. Learn how to build state of the art voice agents using Pipecat's open source vendor neutral tooling. You can deploy Pipecat agents"
YouTube Link 2025-07-31T18:56Z 357K followers, [----] engagements

"No More Slop swyx Why we need to eliminate low-quality code and work in AI engineering. Speaker: swyx Curator AI Engineer https://x.com/swyx https://www.linkedin.com/in/shawnswyxwang/ https://www.swyx.io/"
YouTube Link 2025-12-22T02:46Z 360K followers, [----] engagements

"Windsurf everywhere doing everything all at once - Kevin Hou Windsurf In this video we explore the evolution of Windsurf its core philosophy and its ambitious vision for the future of AI in software development. Here's what you'll learn: 00:00 - Introduction to Windsurf: Discover the rapid growth and key features of this AI Engineer World's Fair product including web search MCP support auto-generated memories and parallel agents. 02:18 - The Core Philosophy: Learn about the "secret sauce" behind Windsurf's intuitive mind-reading AI which creates a shared timeline between humans and AI. 03:46"
YouTube Link 2025-06-23T15:00Z 359K followers, [----] engagements

"RFT DPO SFT: Fine-tuning with OpenAI Ilan Bigio OpenAI Full workshop covering all forms of fine-tuning and prompt engineering like SFT DPO RFT prompt engineering / optimization and agent scaffolding. About Ilan Bigio Ilan Bigio is a founding member of OpenAIs Developer Experience team where he explores model capabilities builds demos and developer tools and shares his learnings through talks and docs. His work includes creating the AI phone ordering demo showcased at DevDay [----] leading technical development for Swarm the precursor to the Agents SDK and contributing to Codex CLI. Prior to"
YouTube Link 2025-06-23T16:00Z 358K followers, 15.8K engagements

"Context Engineering: Connecting the Dots with Graphs Stephen Chin Neo4j AI systems need more than intelligence; they need context. Without it even the most advanced models can misinterpret information lose track of details or arrive at conclusions that dont hold up. Context engineering is emerging as a discipline that shapes how AI perceives recalls and reasons about information. This talk will explore how context provides the foundation for reasoning problem solving and explainability in AI. We will look at techniques such as connected memory contextual retrieval and graph-based knowledge"
YouTube Link 2025-11-24T20:16Z 359K followers, [----] engagements

"Claude Code & the evolution of agentic coding Boris Cherny Anthropic A ten thousand foot view of the coding space the UX of coding and the Claude Code team's approach. About Boris Chemy Created Claude Code. Member of Technical Staff @Anthropic. Prev: Principal Engineer @Meta Architect @Coatue. Author OReilly's Programming TypeScript. Recorded at the AI Engineer World's Fair in San Francisco. Stay up to date on our upcoming events and content by joining our newsletter here: https://www.ai.engineer/newsletter"
YouTube Link 2025-07-04T16:00Z 354K followers, 132.3K engagements

"Training Agentic Reasoners Will Brown Prime Intellect This talk will be a technical deep dive into RL for agentic reasoning via multi-turn tool calling similar to OpenAI's o3 and Deep Research. In particular we'll cover: - When why and how - GRPO vs PPO vs etc - Designing environments and rewards - Survey of recent research highlights - Results on example tasks - Overview of open-source ecosystem (libraries compute requirements tradeoffs etc.) About Will Brown Will Brown is a Research Engineering Lead at Prime Intellect focusing on RL for reasoning and agents. He previously held research"
YouTube Link 2025-07-07T17:20Z 354K followers, 21.2K engagements

"Moondream: how does a tiny vision model slap so hard Vikhyat Korrapati Psst Wanna learn how to build an AI model that punches way above its weight Beats models [--] times its size and competes with the models from Meta Google and OpenAI In this talk Ill spill the beans on how I pulled it off and how you can too. Ill share my unexpected journey that led to the creation of Moondream a tiny open-source vision language model that kicks ass. Ill share my journey and the technical hurdles that I faced along the way. Ill also explain why small models are the future of AI. Join me for a story of"
YouTube Link 2024-11-14T20:49Z 355K followers, 18.1K engagements

"Identity for AI Agents - Patrick Riley & Carlos Galan Auth0 Implementing secure identity and access management for AI agents with Okta https://www.linkedin.com/in/patmriley/ https://www.linkedin.com/posts/cgcladera_auth0-for-ai-agents-secure-agentic-apps-activity-7399029829565579264-9Gdf/"
YouTube Link 2026-01-05T19:24Z 360K followers, [----] engagements

"The Devops Engineer Who Never Sleeps Diamond Bishop Datadog Operate services without getting paged and not because you phone ran out of batter. Ever get woken up in the middle of the night because a service has gone down stumbling around looking for your laptop. What if there was an oncall engineer who didnt need to sleep always ready to handle issues instead letting you sleep. In this talk well share how were using AI Agents at Datadog to handle alerts and incidents for you and what weve learned building agents to use Datadog and handle DevOps like a human would. Recorded live at the"
YouTube Link 2025-04-15T13:04Z 359K followers, [----] engagements

"2025 in LLMs so far illustrated by Pelicans on Bicycles Simon Willison What's changed in the world of LLMs since the AIE World's Fair last year A lot I'll be taking full advantage of my role as a fiercely independent researcher to review the past [--] months of advances in the field and catch everyone up on the latest models free from any influence of vendors or employers. About Simon Willison Simon Willison is the creator of Datasette an open source tool for exploring and publishing data. He currently works full-time building open source tools for data journalism built around Datasette and"
YouTube Link 2025-07-09T16:00Z 356K followers, 160.8K engagements

"Opening Keynotes - AIE Paris [----] (Day 1) The opening welcome reception is all about the hallway track and the expo -- meeting and mingling with other founders and engineers who are (mostly) based in Europe. However for those who can't make it we'll be streaming [--] talks to kick off the conference: Shawn Swyx Wang curator of Latent Space and Co-founder of AI Engineer: The Year in Agents Llio Renard Lavaud VP of Engineering Mistral: How open source drives successful enterprise adoption"
YouTube Link 2025-09-22T15:12Z 359K followers, [----] engagements

"How to Construct Domain Specific LLM Evaluation Systems: Hamel Husain and Emil Sedgh Many failed AI products share a common root cause: a failure to create robust evaluation systems. Evaluation systems allow you to improve your AI quickly in a systematic way and unlock superpowers like the ability to curate data for fine-tuning. However many practitioners struggle with how to construct evaluation systems that are specific to their problems. In this talk we will walk through a detailed example of how to construct domain-specific evaluation systems. Recorded live in San Francisco at the AI"
YouTube Link 2024-09-19T16:47Z 354K followers, 19.6K engagements

"How Zapier Builds AI Products and Features with the Help of Braintrust: Ankur Goyal & Olmo Maldonado Zapier is the #1 workflow automation platform for small and midsize businesses connecting to more than [----] of the most popular work apps. We were also one of the first companies to build and ship AI features into our core products. We've had the opportunity to work with Braintrust since the early days of the product which now powers the evaluation and observability infrastructure across our AI features. Well walk through a couple of our projects AI Zap Builder and Zapier Copilot and how we"
YouTube Link 2024-11-07T20:11Z 359K followers, [----] engagements

"Milliseconds to Magic: RealTime Workflows using the Gemini Live API and Pipecat The Gemini Live API GA is now powered by Google's best cost-effective thinking model Gemini [---] Flash. We will do a deep dive on the capabilities that the Gemini Live API combined with Pipecat unlock for devs with special focus on session management turn detection tool use (including async function calls) proactivity multilinguality and integration with telephony and other infra. We will demo some of the more innovative capabilities. We will also talk through some customer use cases - especially how customers can"
YouTube Link 2025-06-27T10:31Z 357K followers, [----] engagements

"Why should anyone care about Evals Manu Goyal Braintrust An introduction to the evals track About Manu Goyal Manu Goyal is the founding engineer at Braintrust. Previously he developed autonomous systems at Nuro. He has an [--] year old Pomeranian named Hendrix. Recorded at the AI Engineer World's Fair in San Francisco. Stay up to date on our upcoming events and content by joining our newsletter here: https://www.ai.engineer/newsletter"
YouTube Link 2025-06-27T10:51Z 359K followers, 13.1K engagements

"A Taxonomy for Next-gen Reasoning Nathan Lambert Allen Institute (AI2) & Interconnects.ai Current AI models are extremely skilled which was seen as the step change in evaluation scores across the industry in the first half of [----] but often fail when presented with even medium time-horizon tasks. This talk presents a taxonomy of [--] traits of reasoning models -- skills calibration strategy and abstraction -- that will be crucial to creating the next generation of AI applications. With this we focus on the latter two strategy and abstraction and discuss how these traits will enable long-horizon"
YouTube Link 2025-07-19T21:15Z 359K followers, 15.6K engagements

"How METR measures Long Tasks and Experienced Open Source Dev Productivity - Joel Becker METR AI models are crushing benchmarks. SWE-bench scores are climbing and METR's measured time horizons are rising rapidly. Yet when we deployed these same models in a field study with experienced developers they didn't speed up work. What's going on Are benchmarks misleading us about AI capabilities Are we missing something about how AI performs in the real world In this talk we'll reconcile lab and field evidence on AI capabilities. Drawing from METR's time horizon measurements and developer productivity"
YouTube Link 2026-01-17T15:38Z 360K followers, [----] engagements

"Building Agents with Model Context Protocol - Full Workshop with Mahesh Murag of Anthropic The Model Context Protocol is a universal open standard for connecting AI systems with data sources replacing fragmented integrations with a single protocol. This workshop from Anthropic -- the creators of MCP -- talks about the philosophy behind MCP its impact on the broader ecosystem since launch and how developers can use it to build context-rich AI apps and agentic experiences. 00:00 What is MCP 9:39 Building with MCP 26:25 MCP & Agents 1:13:15 What's next for MCP Recorded live at workshop day from"
YouTube Link 2025-03-01T16:59Z 357K followers, 326K engagements

"What Is a Humanoid Foundation Model An Introduction to GR00T N1 - Annika & Aastha Foundation models dont just write or draw anymoretheyre starting to move. GR00T N1 is NVIDIAs open Vision-Language-Action (VLA) foundation model for humanoid robots. Built with a dual-system architecture it combines a System [--] module for high-level reasoning with a System [--] module for real-time fluid motor control. Its trained end-to-end on a an impressive mix of datafrom human videos to robot trajectories to synthetic simulationsand deployed on a full-sized humanoid robot performing bimanual manipulation tasks"
YouTube Link 2025-07-28T16:29Z 354K followers, [----] engagements

"Welcome to AIE CODE - Jed Borovik Google DeepMind Day [--] emcee Jed Borovik opens the day for coding agents and labs"
YouTube Link 2026-01-05T13:20Z 360K followers, [----] engagements

"Full Workshop: Realtime Voice AI Mark Backman Daily Voice AI agents today can conduct natural human-like conversations and perform a wide variety of tasks: customer support lead qualification healthcare patient intake market research and more. Today's best voice agents combine: realtime responsiveness open-ended conversational intelligence reliable instruction following and flexible integration with existing back-end systems. Learn how to build state of the art voice agents using Pipecat's open source vendor neutral tooling. You can deploy Pipecat agents to your own infrastructure or to"
YouTube Link 2025-08-03T18:53Z 357K followers, 13.5K engagements

"Agent Reinforcement Fine Tuning Will Hang & Cathy Zhou OpenAI Deep dive into OpenAI's approach to reinforcement fine-tuning for code models. https://x.com/willhang_ https://x.com/cathyzhou AIE is coming to London and SF see dates and sign up to be notified of sponsorships CFPs and tickets: https://ai.engineer Timestamps: 00:00 Introduction to Agent RFT & What Defines an Agent 01:45 Hierarchy of Agent Optimization (Prompting - Task Opt - RFT) 02:53 New RFT Features: Public Endpoints & Custom Rewards 03:55 Addressing Domain Shift & Latency via Exploration 05:41 Recommended Workflow: Baseline"
YouTube Link 2025-12-09T15:55Z 360K followers, 20K engagements

"Building a Smarter AI Agent with Neural RAG - Will Bryk Exa.ai RAG quality for AI agents is critical and traditional keyword-based search engines consistently underperform in agentic or multi-step tasks where semantic grounding and contextual nuance matter most. In this talk Will Bryk CEO of Exa will live code two AI agent applicationsone using traditional keyword search RAG and one using neural network RAG via vector search. Hell then evaluate both applications based on task performance relevance and latency. With a live demo (no theory or pre-baked applications) the audience will get a"
YouTube Link 2025-07-29T07:01Z 359K followers, 19.1K engagements

"Machines of Buying and Selling Grace - Adam Behrens New Generation How to go beyond browser automation to truly agentic commerce where AI can buy sell and negotiate on behalf of users and merchants. About Adam Behrens Adam Behrens is the co-founder and CEO of New Gen a company that partners with global brands and merchants to unlock AI native commerce opportunities. New Gen builds infrastructure for brands to host their own conversational AI experiences and to connect their data into 3rd party chat clients like ChatGPT and Claude. Adam previously worked on trading infrastructure at"
YouTube Link 2025-07-23T15:51Z 359K followers, [---] engagements

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