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AI Engineer (full channel)

Every upload from the AI Engineer channel, tracked daily. The pool that curated collections split off from.

966 videos · refreshed 3 hours ago

Event 8
Track 20
  1. 1 ↑1

    Full Walkthrough: Workflow for AI Coding — Matt Pocock

    1.2M views 24.6K likes 785 comments

  2. 2 ↑43

    Anthropic Workshop: Build Agents That Run for Hours — Ash Prabaker & Andrew Wilson

    88.9K views 1.6K likes 59 comments

  3. 3 ↑74

    Training an LLM from Scratch, Locally — Angelos Perivolaropoulos, ElevenLabs

    49.2K views 1.4K likes 15 comments

  4. 4 ↑79

    OpenAI Codex Masterclass — Vaibhav Srivastav & Katia Gil Guzman

    44.6K views 861 likes 29 comments

  5. 5 ↑99

    Ralph Loops: Build Dumb AI Loops That Ship — Chris Parsons, Cherrypick

    38.2K views 661 likes 50 comments

  6. 6 ↑117

    TLMs: Tiny LLMs and Agents on Edge Devices with LiteRT-LM — Cormac Brick, Google

    31.9K views 784 likes 43 comments

  7. 7 ↑127

    Building your own software factory — Eric Zakariasson, Cursor

    29.4K views 516 likes 24 comments

  8. 8 ↑138
  9. 9 ↑139

    Agentic Search for Context Engineering — Leonie Monigatti, Elastic

    26.4K views 658 likes 24 comments

  10. 10 ↑159

    Full Walkthrough: Writing & Using Skills — Nick Nisi and Zack Proser

    22.5K views 380 likes 20 comments

  11. 11 ↑200

    Mergeable by default: Building the context engine to save time and tokens — Peter Werry, Unblocked

    16.9K views 323 likes 20 comments

  12. 12 ↑229

    Demand-Driven Context: A Methodology for Coherent Knowledge Bases Through Agent Failure

    14.3K views 247 likes 18 comments

  13. 13 ↑233

    Ship Real Agents: Hands-On Evals for Agentic Applications — Laurie Voss, Arize

    13.9K views 273 likes 6 comments

  14. 14 ↑256

    Make your own event-sourced agent harness using stream processors — Jonas Templestein, Iterate

    11.9K views 205 likes 21 comments

  15. 15 ↑280

    Skill Issue: How We Used AI to Make Agents Actually Good at Supabase — Pedro Rodrigues, Supabase

    10.1K views 175 likes 11 comments

  16. 16 ↑368

    Run Frontier AI at Home — Alex Cheema, EXO Labs

    7.1K views 132 likes 16 comments

  17. 17 ↑375

    Everything You Need To Know About Agent Observability — Danny Gollapalli & Zubin Koticha, Raindrop

    6.8K views 139 likes 7 comments

  18. 18 ↑384

    Agent Optimization with Pydantic AI: GEPA, Evals, Feedback Loops — Samuel Colvin, Pydantic

    6.7K views 108 likes 3 comments

  19. 19 ↑405

    Building Conversational Agents — Thor Schaeff and Philipp Schmid, Google DeepMind

    6.3K views 137 likes 2 comments

  20. 20 ↑409

    Give Your Agent a Computer — Nico Albanese, Vercel

    6.2K views 115 likes 8 comments

  21. 21 ↑412

    Human-in-the-Loop Automation with n8n — Liam McGarrigle

    6.1K views 137 likes 4 comments

  22. 22 ↑462

    Shipping complex AI applications — Braintrust & Trainline

    5.1K views 105 likes 8 comments

  23. 23 ↑476

    Build & deploy AI-powered apps — Paige Bailey, Google DeepMind

    4.8K views 109 likes 8 comments

  24. 24 ↑550

    Mind the Gap (In your Agent Observability) — Amy Boyd & Nitya Narasimhan, Microsoft

    3.6K views 71 likes 2 comments

  25. 25 ↑601

    Prompt to Pipeline: Building with Google's Gen Media Stack — Paige & Guillaume, Google DeepMind

    2.9K views 72 likes 2 comments