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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.

1199 videos · refreshed 16 hours ago

Event 8
Track 17
  1. 1

    Full Walkthrough: Workflow for AI Coding — Matt Pocock

    1.6M views 29.1K likes 883 comments

  2. 2 ↑44

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

    99.8K views 1.7K likes 55 comments

  3. 3 ↑83

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

    54.8K views 1.5K likes 16 comments

  4. 4 ↑95

    OpenAI Codex Masterclass — Vaibhav Srivastav & Katia Gil Guzman

    47.6K views 901 likes 32 comments

  5. 5 ↑112

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

    40.6K views 680 likes 50 comments

  6. 6 ↑123

    Building your own software factory — Eric Zakariasson, Cursor

    37.5K views 608 likes 30 comments

  7. 7 ↑128

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

    35.8K views 834 likes 42 comments

  8. 8 ↑145
  9. 9 ↑154

    Agentic Search for Context Engineering — Leonie Monigatti, Elastic

    28.7K views 693 likes 24 comments

  10. 10 ↑181

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

    24.2K views 396 likes 20 comments

  11. 11 ↑222

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

    19.3K views 349 likes 8 comments

  12. 12 ↑237

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

    18.2K views 333 likes 20 comments

  13. 13 ↑283

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

    14.8K views 250 likes 18 comments

  14. 14 ↑313

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

    12.8K views 211 likes 21 comments

  15. 15 ↑354

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

    10.4K views 175 likes 11 comments

  16. 16 ↑406

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

    8.7K views 138 likes 4 comments

  17. 17 ↑447

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

    8K views 150 likes 7 comments

  18. 18 ↑454

    Run Frontier AI at Home — Alex Cheema, EXO Labs

    7.6K views 137 likes 14 comments

  19. 19 ↑514

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

    6.5K views 137 likes 2 comments

  20. 20 ↑517

    Give Your Agent a Computer — Nico Albanese, Vercel

    6.5K views 120 likes 8 comments

  21. 21 ↑534

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

    6.2K views 138 likes 4 comments

  22. 22 ↑596

    Shipping complex AI applications — Braintrust & Trainline

    5.2K views 104 likes 8 comments

  23. 23 ↑610

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

    5K views 110 likes 8 comments

  24. 24 ↑695

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

    3.8K views 74 likes 2 comments

  25. 25 ↑775

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

    3K views 73 likes 2 comments