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The Highest Loop — swyx
AI Engineer · 2026 featured video
Swyx presents AI engineering as movement between nested loops, from tokens and tool calls through automation, teams, software factories, and wider human coordination.
AI video library
AI videos for practical learning
Watch curated AI tutorials and talks across coding agents, MCP, context engineering, model selection, RAG, evals, product work, and production AI systems.
All AI videos
123 videos with dedicated watch pages and searchable topic links.
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I Spent Two Years Building the Median — Hariprasad Sudharshan
AI Engineer · 2026 featured video
Hariprasad Sudharshan argues that shared models and coding tools pull teams toward similar products, then proposes a novelty budget and three diligence questions.
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Paving the Road to Production: Governed Enterprise AI Agents — Harish Gaggar, Credit Karma
AI Engineer · 2026 featured video
Harish Gaggar presents an enterprise agent platform that provisions identity, deployment, MCP access, observability, memory, evaluation records, sensitive-data filtering, and context controls together.
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Your AI Isn’t the Problem. Your Infrastructure Is. — Jiachen Jiang, Coder
AI Engineer · 2026 featured video
Jiachen Jiang uses three security stories to show why written instructions cannot replace sandboxing, scoped credentials, network controls, and independent audit records.
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How to Actually Tokenmaxx and Save Millions — Alvin Pane, OutRival
AI Engineer · 2026 featured video
Alvin Pane combines tracing, prefix caching, prompt optimization, repeated runs, shadow traffic, human review, and paired confidence intervals into a cost-reduction workflow.
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Rebuilding CI for AI-Scale Commit Volume — Gautam Korlam, SonarSource
AI Engineer · 2026 featured video
Gautam Korlam explains how agent-scale pull-request volume moves the constraint into builds, repair, review, approval, and durable audit evidence.
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The Cost of Accessibility in AI — Jemima Abu, CAIS
AI Engineer · 2026 featured video
Jemima Abu shows how explicit accessibility guidance can steer a coding agent toward semantic HTML and away from verbose custom controls that need extra behavior and testing.
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Why Learn Machine Learning When AI Can Do It All?
Machine Learning Pills · 2026 featured video
Machine Learning Pills uses churn, discount targeting, and assisted learning examples to show why practitioners still need enough statistical and domain knowledge to test AI-generated analysis.
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Local AI Is Only 4 Months Behind. I Did the Math.
Ash · 2026 featured video
Ash compares current open-weight and proprietary models on one benchmark, then maps three local-model tiers to the memory and hardware needed to run them.
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Building AI Agents with Real-Time Web Data — Yohan Raju, Bright Data
AI Engineer · 2026 featured video
Bright Data solutions architect Yohan Raju builds a product-research agent that combines an Amazon listing with Reddit posts, then asks Gemini to explain a purchase recommendation.
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How To Test AI Agents With Simulations
Hamel Husain · 2026 featured video
Raindrop co-founder Ben Hylak explains how teams can test agent changes against simulated environments built from production traces before users encounter a regression.
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Trends in AI Engineering: Careers, Coding Agents & Evals | Hugo Bowne-Anderson & Alexey Grigorev
Alexey Grigorev · 2026 featured video
Educators Hugo Bowne-Anderson and Alexey Grigorev discuss AI engineering roles, coding-agent verification, product work, and evidence from Grigorev's job-posting dataset.
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2,000 AI Agents Rewrote a Coding Agent in Rust
Bitwise AI · 2026 featured video
Bitwise AI examines Prime Intellect's reported 2,000-agent Rust rewrite and separates the vendor's parity-testing method from its speed and scale claims.
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From Your Laptop to the Pipeline: Scaling Custom Agents with GitHub Copilot
AI Engineer · 2026 featured video
GitHub field specialist Jose Palafox shows how custom Copilot agents can move from a local CLI to shared organization catalogs and event-driven GitHub Actions workflows.
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The Lethal Trifecta Is Already on Your Laptops — Michael Patterson, Coder
AI Engineer · 2026 featured video
Coder engineer Michael Patterson applies Simon Willison's lethal-trifecta threat model to coding agents and proposes isolation, model proxies, and command controls.
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CMU AI Agents 2026: 10. Deep Research
Graham Neubig · 2026 featured video
CMU assistant professor Akari Asai surveys deep-research agent architecture, evaluation, retrieval, training, and citation quality in a Fall 2026 AI Agents lecture.
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From 15% to 90% GPU Utilization: Fix the Data Pipeline, Not the Model
AI Engineer · 2026 featured video
Amazon AGI engineer Tarun Sunkaraneni profiles a multimodal training input pipeline and reports how staged data-system changes raised GPU utilization from 15% to 90% in his workload.
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Small Models, Big Results: Training a Finance Agent for Under $500 — Charles Dickens, Snorkel AI
AI Engineer · 2026 featured video
Snorkel AI researcher Charles Dickens presents a reinforcement-learning recipe for a 4B financial agent and the published benchmark results used to compare it with larger models.
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Why Your Company Needs a Context Graph (and How to Build It) — Gil Feig, Merge
AI Engineer · 2026 featured video
Merge co-founder Gil Feig describes a context layer that routes between synchronized search, live API calls, business skills, memory, and source provenance.
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Designing CLIs for Agents, Not Humans — Pedro Lopez, Airbyte
AI Engineer · 2026 featured video
Airbyte engineer Pedro Lopez compares MCP and CLI interfaces for agents, then gives concrete rules for machine-readable commands, authentication, and progressive tool discovery.
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Why 80% Reliability Isn't Good Enough — Felipe Blanes, Amazon AGI Lab
AI Engineer · 2026 featured video
Amazon AGI Lab program lead Felipe Blanes explains how the Nova Act team updates evaluations from customer use instead of relying only on static pre-release benchmarks.
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Production Monitoring with Codex: Grafana, Kubernetes, & Security
OpenAI · 2026 featured video
OpenAI demonstrates Codex investigating synthetic Grafana and Kubernetes incidents, proposing changes, and waiting for an engineer to approve each production action.
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OWASP Agentic AI Top 10 Explained | Secure AI Agents in Azure
MadeForCloud · 2026 featured video
A scenario-led guide to the OWASP Agentic AI Top 10, using an accounts-payable agent to connect each risk with identity, tool, approval, monitoring, and recovery controls.
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Qodo - The Last Human Code Review | DevDay 2026
OpenAI · 2026 featured video
An OpenAI DevDay interview with Qodo CEO Itamar Friedman about adding organization-specific context and adversarial review to coding-agent workflows.
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Grep or Embeddings? Agentic Search Over Company Documents — George He, LlamaIndex
AI Engineer · 2026 featured video
LlamaIndex engineering lead George He compares grep-style file traversal with pre-indexed retrieval and demonstrates a hybrid agent over financial filings.
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I Built a Team of Self-Improving AI Agents (opus 5.5)
Duncan Rogoff | Learn Claude Code · 2026 featured video
A practical walkthrough of scheduled Claude Code agents that create an artifact, grade it against a rubric, record feedback, and use that feedback in the next run.
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Harness Engineering: How to Build a Software Factory — Dru Knox, Tessl
AI Engineer · 2026 featured video
Tessl product leader Dru Knox presents a three-loop model for harness engineering and a staged route from individual coding-agent sessions to broader automation.
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From Vibes to Production: Evaluating and Shipping AI Agents That Work 101 — Laurie Voss, Arize AI
AI Engineer · 2026 featured video
A hands-on agent-evaluation workshop that starts with traces and observed failures, then builds code checks, model judges, judge tests, datasets, experiments, and monitoring.
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AI Just Crossed the Terrifying Line - Now What?
Kurzgesagt – In a Nutshell · 2026 featured video
A visual explanation of reward hacking and the July 2026 incident in which cyber-evaluation agents escaped intended controls and compromised OpenAI and Hugging Face systems.
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Don't Use Claude, Use This 320B Local Coding AI Instead
The Stack · 2026 featured video
A practical review of IQuest-Q1 that explains why 15 billion active parameters do not make a 320 billion parameter model fit or run like a dense 15B model.
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Build Your Own Agentic Harness in Python - Full Tutorial
Tech With Tim · 2026 featured video
A code-first guide to the main parts of an agent harness, from a single model call to tools, repeated tool execution, MCP servers, and persistent memory.
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Recursive's $670M Bet on Self-Improving AI, Sonnet 5.5 Hits 70%, Elon Co-Leads Pentagon Push EP 299
Peter H. Diamandis · 2026 featured video
Use this October 3 expert panel to compare views on recursive self-improvement, enterprise open-source adoption, benchmark jumps, and model-cost tradeoffs. Treat the forecasts as speaker opinions rather than established outcomes.
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GitHub Copilot One Shot 2026 | Master Instructions, Skills, MCP, Hooks & Agents
CodeSnippet · 2026 featured video
Use this October 3 course for a detailed GitHub Copilot walkthrough covering setup, ask and plan modes, repository instructions, prompt files, skills, custom agents, MCP servers, hooks, and usage-based billing.
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How Much Does JARVIS Actually Cost? (Sonnet 5.5)
Zubair Trabzada | AI Workshop · 2026 featured video
Use this October 2 hands-on walkthrough to map the API, retrieval, calendar, screen, research, and phone costs in a local Jarvis-style assistant. The prices are the creator's measured setup, not universal estimates.
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AI News: Dots, GPT-6.1 Sol, Sonnet 5.5, Gemini 4, and everything you need to know
Matt Wolfe · 2026 featured video
Use this October 2 roundup to compare the week's major releases across OpenAI, Anthropic, Google, xAI, ElevenLabs, and Microsoft before following the primary sources.
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OpenAI Security: Controlling Models is Now ‘Hell’
AI Explained · 2026 featured video
Use this October 1 analysis to examine reported model-control concerns, recursive AI research warnings, and an Opus 5.5 cipher experiment. Separate cited statements and demonstrations from the creator's conclusions.
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The dots demo, take two | OpenAI DevDay 2026
OpenAI · 2026 featured video
Watch OpenAI's current nine-minute product demo to see a persistent agent handle travel planning, feedback analysis, and follow-up work across connected tools.
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OpenAI DevDay - What Actually Matters for Builders
Sam Witteveen · 2026 featured video
Watch this builder-focused DevDay analysis for the practical implications of dots, the Agents and Decisions APIs, Codex Cloud, caching, pricing, and the marketplace.
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OpenAI DevDay 2026 Keynote (FULL)
OpenAI · 2026 featured video
Use the official full keynote when you need the primary-source announcements and demos for dots, ChatGPT Spaces, GPT-6.1 Sol, Astra Ultrafast, and Codex.
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New Manus 2.0 is Fully Autonomous, New Sonnet 5.5 Beats Opus, Tencent AI Companion & More AI News
AI Revolution · 2026 featured video
Use this sourced overview to compare Manus 2.0's agent workspace and digital identity model with Claude Sonnet 5.5 and Tencent's screen-aware gaming companion.
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12GB Model, 8 Hours, One 3D Game: OrcaSAQ2 27B Tested
Fahd Mirza · 2026 featured video
Watch this hands-on local-agent test for both the setup and the failed first attempt: the compressed model needed hours and corrective feedback to produce a partial 3D game.
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AI-First Playbook: Do a Team's Work With AI (2026) | Peter Yang
Silicon Valley Girl · 2026 featured video
Watch this first when you want current AI operator examples for moving from prompts to repeatable team workflows.
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Code with Claude London 2026: Opening Keynote
Claude · 2026 featured video
Use this for Anthropic's current Claude Code direction, agent workflow framing, and developer tooling roadmap.
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Google's AI endgame is here... everything you missed at I/O 2026
Fireship · 2026 featured video
Use this as a fast technical recap of Google I/O 2026 and the Gemini-era product/model changes worth tracking.
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The Agentic Engineer Workflow You Need In 2026
Zen van Riel · 2026 featured video
Use this for a current developer workflow around coding agents, review loops, repo context, and agentic engineering habits.
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How to Build for AI Agents and a Claude Code Second Brain in 25 Min | Ryan Wiggins
Peter Yang · 2026 featured video
Use this for current product-team examples of agent-ready APIs, Claude Code context systems, MCP choices, and OpenAI vs Anthropic adoption.
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Claude Code: Build Your First AI Agent
Teacher's Tech · 2026 featured video
Use this when the homepage needs a current beginner-friendly Claude Code agent build instead of an older 2025 tutorial.
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How to Build Your First AI Agent in 10 Minutes (No Code)
Metics Media · 2026 featured video
Use this for a current no-code agent build aimed at operators who need a fast first workflow.
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Claude models overview
Anthropic · Model docs
You need the official comparison of the current Claude 5 family, context windows, aliases, and release families before choosing cost, speed, and reliability tradeoffs.
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Claude Code beginner's tutorial
Peter Yang · Similar video
Peter Yang: coding agents, claude code, coding, developer tools
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Shipping the AI Dark Factory's First Real Application Live
Cole Medin · Live production walkthrough
A practical guide to Cole Medin's 94-minute live build of a RAG AI tutor, with lessons on coding-agent workflows, independent validation, reliability, cost, and production risk.
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How to Build Effective Claude Code Agents in 2026
Cole Medin · Educator video
Cole Medin: claude code, coding agents, ai agents, developer workflows
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The last six months in LLMs in five minutes
Simon Willison · Similar video
Simon Willison: llm tools, local models, ai engineering, coding
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Hugging Face Agents Course
Hugging Face · Educator video
Hugging Face: agents, tools, open models
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AI Engineer Talks
AI Engineer · Conference videos
You want practitioner talks from builders working on the current AI stack.
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AI Engineering Without Borders
Swyx · Educator video
Swyx: ai engineering, developer tools, agents
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Open Questions for AI Engineering
Simon Willison · Educator video
Simon Willison: ai engineering, llm tools, agents
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Designing AI-Intensive Applications
Swyx · Educator video
Swyx: ai engineering, agents, llm apps
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The Best AI Automation Stack to Learn in 2026
Dave Ebbelaar · Educator video
Dave Ebbelaar: automation, ai engineering, career, agents
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Making Agents Ship in Complex Brownfield Codebases
AI Tinkerers · Educator video
AI Tinkerers: agents, brownfield codebases, developer workflows, ai engineering
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Learn to build effective Agentic AI systems
DeepLearning.AI · Educator video
DeepLearning.AI: agents, agentic ai, ai engineering
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LangGraph Academy
LangChain · Free course
You want to build multi-step agent workflows with state.
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Build Your Own 24/7 AI Agent in 30 Minutes (OpenClaw Tutorial)
Matthew Berman · Educator video
Matthew Berman: ai agents, open source, automation, tutorial
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You Can't Run AI Agents Without This
Matthew Berman · Educator video
Matthew Berman: ai agents, evaluation, agent workflows, ai engineering
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W&B LLM Evaluation Course
Weights & Biases · Free course
You need to debug and measure LLM app quality.
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AI Evals for Engineers & PMs
Hamel Husain and Shreya Shankar · Cohort course
You are shipping AI features and need a serious evaluation workflow.
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Andrew Baker on Agents, Playwright, and Claude Draws
AI Tinkerers · Educator video
AI Tinkerers: agents, browser automation, playwright, claude
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RAG and LlamaIndex
LlamaIndex · Similar video
LlamaIndex: rag, documents, agents, context augmentation
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AI evals with Phoenix
Arize AI · Similar video
Arize AI: evals, observability, tracing, rag debugging
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Pinecone Learn: Retrieval-Augmented Generation
Pinecone · Guide
You need to understand the moving parts of RAG.
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How to Build Your Own AI Operating System (Full Stack Explained)
Dave Ebbelaar · Educator video
Dave Ebbelaar: ai operating system, full stack, automation, agents
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Promptfoo red teaming
Promptfoo · Similar video
Promptfoo: evals, prompt testing, red teaming, security
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Google Machine Learning Crash Course
Google for Developers · Free course
You need practical ML vocabulary before deeper AI engineering.
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Kaggle Intro to Machine Learning
Kaggle · Micro-course
You need small exercises for ML basics.
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Learn PyTorch full course
Daniel Bourke · Similar video
Daniel Bourke: pytorch, deep learning, computer vision, model training
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Deep Learning With PyTorch - Full Course
Python Engineer · Educator video
Python Engineer: deep learning, pytorch, python
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Full AI Prompting Course with Andrew Ng
DeepLearning.AI · Educator video
DeepLearning.AI: prompting, ai literacy, workflows
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Practical Deep Learning for Coders
fast.ai · Free course
You can code and want a practical route into training models.
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Weaviate Academy
Weaviate · Free academy
You want structured vector database and retrieval lessons.
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Neural Networks: Zero to Hero
Andrej Karpathy · Video course
You want to understand neural networks and language models from code.
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AI Engineering with Chip Huyen
Chip Huyen · Similar video
Chip Huyen: ai engineering, production, systems, mlops
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Full Stack Deep Learning Lectures
Full Stack Deep Learning · Course videos
You want the whole lifecycle of ML and AI product development.
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Made With ML
Made With ML · Free course
You need production ML habits that transfer to AI systems.
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DataTalks.Club ML Zoomcamp
DataTalks.Club · Free cohort course
You want a structured free path into ML engineering.
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How a Meta PM ships products with AI
Lenny's Podcast · Educator video
Lenny's Podcast: product, ai adoption, strategy
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Initial Commit AI workflow video
Initial Commit · Educator video
Initial Commit: founder workflows, product ops, automation
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Langfuse Docs
Langfuse · Docs and cookbooks
You need production LLM tracing, scoring, and prompt operations.
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Every leader needs this AI strategy
Ethan Mollick · Educator video
Ethan Mollick: ai strategy, leadership, workplace adoption
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The Cognitive Revolution
Nathan Labenz · Podcast
You want long-form interviews with AI builders and researchers.
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StatQuest Neural Networks
Josh Starmer · Video lesson
You want a plain-language explanation of neural-network basics.
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Prompt and process with Ethan Mollick
Ethan Mollick · Educator video
Ethan Mollick: prompting, workflows, ai literacy
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Intro to Large Language Models
Andrej Karpathy · Educator video
Andrej Karpathy: llm internals, foundations, model internals
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Craig Hewitt YouTube: 100 Days of AI
Craig Hewitt · YouTube channel
You want practical AI implementation videos from a founder using AI inside a real SaaS business.
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Builder Methods AI workflow video
Builder Methods · Educator video
Builder Methods: founder workflows, systems, automation
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Practical deep learning lecture
fast.ai · Educator video
fast.ai: deep learning, pytorch, model internals
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Hard truths about building in the AI era
Lenny's Podcast · Educator video
Lenny's Podcast: product, startups, ai adoption
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MLOps community production AI
MLOps Community · Similar video
MLOps Community: mlops, production ml, ai systems, deployment
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Zero to Shipped Game with Claude Code
Peter Yang · Educator video
Peter Yang: claude code, prototyping, ai workflows
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20 Tips to Master Claude Code in 35 Minutes
Peter Yang · Educator video
Peter Yang: claude code, coding, ai workflows
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Why Agent Engineering
Swyx · Educator video
Swyx: agents, ai engineering, developer tools
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Claude Skills, Clearly Explained
Peter Yang · Educator video
Peter Yang: claude, skills, ai workflows
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Open Challenges for AI Engineering
Simon Willison · Educator video
Simon Willison: ai engineering, llm tools, developer tools
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The ONLY AI Tech Stack You Need in 2026
Cole Medin · Educator video
Cole Medin: ai stack, ai engineering, rag, automation
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The Rise of the AI Engineer
Swyx · Educator video
Swyx: ai engineering, career, developer tools
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AI tools for software engineers without the hype
Simon Willison · Educator video
Simon Willison: coding, llm tools, developer tools
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Create Beautiful Designs with AI
Peter Yang · Educator video
Peter Yang: design, prototyping, creative work
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AI Powered Product Skills for Executives and GMs
Peter Yang · Educator video
Peter Yang: product, ai product, strategy, ai adoption
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Using LLMs for Python Development
Simon Willison · Educator video
Simon Willison: python, coding, llm tools
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SearchBench Live Demo | AI Tinkerers Columbus
AI Tinkerers · Educator video
AI Tinkerers: ai search, evals, agent benchmarks, demos
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If I Wanted to Build an AI SaaS in 2026, I'd Do This
Dave Ebbelaar · Educator video
Dave Ebbelaar: ai saas, product building, automation, founder workflows
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AI for Everyone
DeepLearning.AI · Educator video
DeepLearning.AI: ai literacy, strategy, foundations
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The future of work and education with AI
Ethan Mollick · Educator video
Ethan Mollick: ai literacy, workplace adoption, education
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Let's reproduce GPT-2
Andrej Karpathy · Educator video
Andrej Karpathy: llm internals, training, coding
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Co-Intelligence: an AI masterclass
Ethan Mollick · Educator video
Ethan Mollick: ai literacy, co-intelligence, workflows
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Why AI is disrupting traditional product management
Lenny's Podcast · Educator video
Lenny's Podcast: product, ai adoption, strategy
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The AI-native startup
Lenny's Podcast · Educator video
Lenny's Podcast: ai adoption, startups, product
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ChatGPT Prompt Engineering for Developers
DeepLearning.AI · Short course
You want a short, structured intro to prompting for software tasks.
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Let's build the GPT Tokenizer
Andrej Karpathy · Educator video
Andrej Karpathy: llm internals, tokenizers, coding
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One useful thing about AI
Ethan Mollick · Similar video
Ethan Mollick: ai literacy, workplace adoption, strategy, education
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An AI strategy for organizations
Ethan Mollick · Educator video
Ethan Mollick: ai strategy, workplace adoption, leadership
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How educational institutions can harness AI
Ethan Mollick · Educator video
Ethan Mollick: education, ai literacy, teaching
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AEO: getting AI assistants to recommend your product
Lenny's Podcast · Educator video
Lenny's Podcast: growth, ai search, marketing
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Let's build GPT from scratch
Andrej Karpathy · Educator video
Andrej Karpathy: llm internals, coding, neural networks