AI Engineer (full channel)
Every upload from the AI Engineer channel, tracked daily. The pool that curated collections split off from.
Event 8
Track 20
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51 ↑124
Agents need more than a chat - Jacob Lauritzen, CTO Legora
21.7K views 481 likes 11 comments
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52 ↑133
AIE Singapore Day 2 ft. Google DeepMind, OpenClaw, Adaption, Arize, Cloudflare, Robot Company & more
19.6K views 282 likes 7 comments
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53 ↑136
AIE Miami Keynote & Talks ft. OpenCode. Google Deepmind, OpenAI, and more!
19.1K views 301 likes 9 comments
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54 ↑143
Stop babysitting your agents... — Brandon Waselnuk, Unblocked
18.2K views 358 likes 18 comments
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55 ↑146
Software Engineering Is Becoming Plan and Review — Louis Knight-Webb, Vibe Kanban
17.9K views 477 likes 25 comments
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56 ↑152
How AI is changing Software Engineering: A Conversation with Gergely Orosz, @pragmaticengineer
17.3K views 284 likes 12 comments
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57 ↑154
Mergeable by default: Building the context engine to save time and tokens — Peter Werry, Unblocked
16.9K views 323 likes 20 comments
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58 ↑156
From Writing Code to Designing Systems: How the Developer Role is Changing — Chris Noring, Microsoft
16.9K views 554 likes 15 comments
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59 ↑157
The maturity phases of running evals — Phil Hetzel, Braintrust
16.3K views 277 likes 4 comments
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60 ↑157
How to Leverage Domain Expertise — Chris Lovejoy, Notius Labs
16.2K views 318 likes 15 comments
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61 ↑162
Your Coding Agent Should Do AI System Engineering — Ben Burtenshaw, Hugging Face
16K views 387 likes 4 comments
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62 ↑171
Replacing 12K LoC with a 200 LoC Skill — David Gomes, Cursor
14.9K views 258 likes 20 comments
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63 ↑176
A Piece of Pi: Embedding The OpenClaw Coding Agent In Your Product — Matthias Luebken, Tavon
14.5K views 281 likes 29 comments
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64 ↑176
Why Rust is the Ideal Language for Vibe-Coding — Daniel Szoke, Sentry
14.5K views 430 likes 43 comments
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65 ↑176
Demand-Driven Context: A Methodology for Coherent Knowledge Bases Through Agent Failure
14.3K views 247 likes 18 comments
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66 ↑180
Ship Real Agents: Hands-On Evals for Agentic Applications — Laurie Voss, Arize
13.9K views 273 likes 6 comments
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67 ↑180
OpenRAG: An open-source stack for RAG — Phil Nash
13.9K views 405 likes 38 comments
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68 ↑190
Context Graphs for Explainable, Decision-Aware AI Agents — Andreas Kollegger & Zaid Zaim, Neo4j
12.7K views 248 likes 9 comments
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69 ↑191
Running LLMs on your iPhone: 40 tok/s Gemma 4 with MLX — Adrien Grondin, Locally AI
12.6K views 317 likes 8 comments
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70 ↑191
Agentic Evaluations at Scale, For Everybody — Nicholas Kang & Michael Aaron, Google DeepMind
12.5K views 160 likes 2 comments
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71 ↑195
Dark Factory: OpenClaw Ships Faster Than You Can Read the Diff — Vincent Koc, OpenClaw
12.2K views 234 likes 36 comments
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72 ↑197
The agent-ready web: Simplify user actions with WebMCP — Tara Agyemang, Google
11.9K views 258 likes 13 comments
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73 ↑197
Make your own event-sourced agent harness using stream processors — Jonas Templestein, Iterate
11.9K views 205 likes 21 comments
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74 ↑199
Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j
11.7K views 228 likes 12 comments
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75 ↑199
Agents on the Canvas in tldraw — Steve Ruiz, tldraw
11.5K views 236 likes 14 comments
