All collections

AIE Europe 2026

Talks from AIE Europe 2026, drafted from the AI Engineer channel's own playlists. Editorial metadata is best-effort parsed and under review.

195 videos · refreshed 16 hours ago

Event 1
Track 3
  1. 51

    Agents need more than a chat - Jacob Lauritzen, CTO Legora

    23.4K views 502 likes 12 comments

  2. 52

    The New Application Layer - Malte Ubl, CTO Vercel

    23.2K views 354 likes 13 comments

  3. 53

    MCP = Mega Context Problem - Matt Carey

    22.9K views 501 likes 40 comments

  4. 54
  5. 55

    AIE Miami Keynote & Talks ft. OpenCode. Google Deepmind, OpenAI, and more!

    20.4K views 311 likes 9 comments

  6. 56
  7. 57 ↑1

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

    19.3K views 349 likes 8 comments

  8. 58 ↓1

    Stop babysitting your agents... — Brandon Waselnuk, Unblocked

    19.2K views 367 likes 17 comments

  9. 59

    The maturity phases of running evals — Phil Hetzel, Braintrust

    19K views 311 likes 5 comments

  10. 60

    Software Engineering Is Becoming Plan and Review — Louis Knight-Webb, Vibe Kanban

    18.3K views 484 likes 26 comments

  11. 61

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

    18.2K views 333 likes 20 comments

  12. 62

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

    17.7K views 476 likes 46 comments

  13. 63

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

    17.5K views 285 likes 12 comments

  14. 64

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

    16.9K views 393 likes 4 comments

  15. 65

    How to Leverage Domain Expertise — Chris Lovejoy, Notius Labs

    16.8K views 329 likes 14 comments

  16. 66

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

    16.7K views 318 likes 14 comments

  17. 67

    Agentic Evaluations at Scale, For Everybody — Nicholas Kang & Michael Aaron, Google DeepMind

    15.9K views 184 likes 3 comments

  18. 68

    A Piece of Pi: Embedding The OpenClaw Coding Agent In Your Product — Matthias Luebken, Tavon

    15.6K views 291 likes 30 comments

  19. 69

    Replacing 12K LoC with a 200 LoC Skill — David Gomes, Cursor

    15.5K views 259 likes 19 comments

  20. 70

    OpenRAG: An open-source stack for RAG — Phil Nash

    14.9K views 417 likes 35 comments

  21. 71

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

    14.8K views 250 likes 18 comments

  22. 72

    Context Graphs for Explainable, Decision-Aware AI Agents — Andreas Kollegger & Zaid Zaim, Neo4j

    14.3K views 264 likes 9 comments

  23. 73

    Running LLMs on your iPhone: 40 tok/s Gemma 4 with MLX — Adrien Grondin, Locally AI

    14K views 334 likes 7 comments

  24. 74

    Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j

    13.3K views 239 likes 14 comments

  25. 75

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

    12.8K views 211 likes 21 comments