AI Engineer (full channel)
Every upload from the AI Engineer channel, tracked daily. The pool that curated collections split off from.
Event 8
Track 17
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51 ↑156
MCP = Mega Context Problem - Matt Carey
22.9K views 501 likes 40 comments
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52 ↑158
From Writing Code to Designing Systems: How the Developer Role is Changing — Chris Noring, Microsoft
22.6K views 690 likes 16 comments
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53 ↑171
AIE Miami Keynote & Talks ft. OpenCode. Google Deepmind, OpenAI, and more!
20.4K views 311 likes 9 comments
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54 ↑173
AIE Singapore Day 2 ft. Google DeepMind, OpenClaw, Adaption, Arize, Cloudflare, Robot Company & more
20.1K views 287 likes 7 comments
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55 ↑178
Ship Real Agents: Hands-On Evals for Agentic Applications — Laurie Voss, Arize
19.3K views 349 likes 8 comments
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56 ↑179
Stop babysitting your agents... — Brandon Waselnuk, Unblocked
19.2K views 367 likes 17 comments
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57 ↑180
The maturity phases of running evals — Phil Hetzel, Braintrust
19K views 311 likes 5 comments
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58 ↑190
Software Engineering Is Becoming Plan and Review — Louis Knight-Webb, Vibe Kanban
18.3K views 484 likes 26 comments
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59 ↑190
Mergeable by default: Building the context engine to save time and tokens — Peter Werry, Unblocked
18.2K views 333 likes 20 comments
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60 ↑195
Why Rust is the Ideal Language for Vibe-Coding — Daniel Szoke, Sentry
17.7K views 476 likes 46 comments
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61 ↑197
How AI is changing Software Engineering: A Conversation with Gergely Orosz, @pragmaticengineer
17.5K views 285 likes 12 comments
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62 ↑203
Your Coding Agent Should Do AI System Engineering — Ben Burtenshaw, Hugging Face
16.9K views 393 likes 4 comments
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63 ↑203
How to Leverage Domain Expertise — Chris Lovejoy, Notius Labs
16.8K views 329 likes 14 comments
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64 ↑204
The agent-ready web: Simplify user actions with WebMCP — Tara Agyemang, Google
16.7K views 318 likes 14 comments
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65 ↑217
Agentic Evaluations at Scale, For Everybody — Nicholas Kang & Michael Aaron, Google DeepMind
15.9K views 184 likes 3 comments
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66 ↑220
A Piece of Pi: Embedding The OpenClaw Coding Agent In Your Product — Matthias Luebken, Tavon
15.6K views 291 likes 30 comments
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67 ↑220
Replacing 12K LoC with a 200 LoC Skill — David Gomes, Cursor
15.5K views 259 likes 19 comments
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68 ↑227
OpenRAG: An open-source stack for RAG — Phil Nash
14.9K views 417 likes 35 comments
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69 ↑227
Demand-Driven Context: A Methodology for Coherent Knowledge Bases Through Agent Failure
14.8K views 250 likes 18 comments
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70 ↑236
Context Graphs for Explainable, Decision-Aware AI Agents — Andreas Kollegger & Zaid Zaim, Neo4j
14.3K views 264 likes 9 comments
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71 ↑239
Running LLMs on your iPhone: 40 tok/s Gemma 4 with MLX — Adrien Grondin, Locally AI
14K views 334 likes 7 comments
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72 ↑248
Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j
13.3K views 239 likes 14 comments
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73 ↑254
Make your own event-sourced agent harness using stream processors — Jonas Templestein, Iterate
12.8K views 211 likes 21 comments
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74 ↑255
Dark Factory: OpenClaw Ships Faster Than You Can Read the Diff — Vincent Koc, OpenClaw
12.7K views 240 likes 36 comments
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75 ↑255
Agents on the Canvas in tldraw — Steve Ruiz, tldraw
12.6K views 252 likes 14 comments
