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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 23 hours ago

Event 8
Track 17
  1. 251 ↓2

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

    18.2K views 333 likes 20 comments

  2. 252 ↓2

    Moondream: how does a tiny vision model slap so hard? — Vikhyat Korrapati

    18.2K views 563 likes 24 comments

  3. 253

    Climbing the Ladder of Abstraction: Amelia Wattenberger

    17.9K views 603 likes 21 comments

  4. 254 ↑1

    Why Rust is the Ideal Language for Vibe-Coding — Daniel Szoke, Sentry

    17.7K views 476 likes 46 comments

  5. 255 ↓1

    Devin 2.0 and the Future of SWE - Scott Wu, Cognition

    17.7K views 255 likes 16 comments

  6. 256

    The 1,000x AI Engineer: Swyx

    17.6K views 493 likes 25 comments

  7. 257
  8. 258

    How AI is changing Software Engineering: A Conversation with Gergely Orosz, @pragmaticengineer

    17.5K views 285 likes 12 comments

  9. 259

    WF26: Harness Engineering & Startup Battlefield ft. Garry Tan, Mike Krieger, @t3dotgg , DSPy

    17.4K views 280 likes 15 comments

  10. 260 ↑1

    How Deep Research Works - Mukund Sridhar & Aarush Selvan, Google DeepMind

    17.2K views 379 likes 5 comments

  11. 261 ↓1

    Building Applications with AI Agents — Michael Albada, Microsoft

    17.2K views 437 likes 5 comments

  12. 262

    Building in the Gemini Era – Kat Kampf & Ammaar Reshi, Google DeepMind

    17K views 337 likes 14 comments

  13. 263

    Strategies for LLM Evals (GuideLLM, lm-eval-harness, OpenAI Evals Workshop) — Taylor Jordan Smith

    17K views 329 likes 12 comments

  14. 264

    Going beyond RAG: Extended Mind Transformers - Phoebe Klett

    16.9K views 540 likes 29 comments

  15. 265

    Your Coding Agent Should Do AI System Engineering — Ben Burtenshaw, Hugging Face

    16.9K views 393 likes 4 comments

  16. 266 ↑1

    The Rise of CaaS: Context-as-a-Service for Agentic AI — Omer Primor, Bright Data

    16.8K views 269 likes 19 comments

  17. 267 ↓1

    How to Leverage Domain Expertise — Chris Lovejoy, Notius Labs

    16.8K views 329 likes 14 comments

  18. 268

    The agent-ready web: Simplify user actions with WebMCP — Tara Agyemang, Google

    16.7K views 318 likes 14 comments

  19. 269

    Rust is the language of the AGI - Michael Yuan

    16.5K views 535 likes 39 comments

  20. 270
  21. 271

    Why AI Agents Need Million-Token Context — Thomas Wolf & Olive Song, MiniMax

    16.4K views 55 likes 6 comments

  22. 272 ↑1

    Coding Agents Don't Scale Themselves. Neither Do Your Teams. — Patrick Debois, Tessl

    16.3K views 263 likes 16 comments

  23. 273 ↓1

    The Unreasonable Effectiveness of Prompt Learning – Aparna Dhinakaran, Arize

    16.3K views 422 likes 19 comments

  24. 274

    What We Learned Deploying AI within Bloomberg’s Engineering Organization – Lei Zhang, Bloomberg

    16.3K views 334 likes 13 comments

  25. 275

    Real World Development with GitHub Copilot and VS Code — Harald Kirschner, Christopher Harrison

    16.2K views 249 likes 7 comments