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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601 ↓1
Engineering Better Evals: Scalable LLM Evaluation Pipelines That Work — Dat Ngo, Aman Khan, Arize
5.6K views 95 likes 5 comments
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602 ↓4
Open Questions for AI Engineering: Simon Willison
5.6K views 190 likes 6 comments
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603 ↓4
Agent Spending Without Controls — Rodrigo Coelho & Pranav Maheshwari, Edge & Node
5.6K views 10 likes 0 comments
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604 ↓3
Gadgets: Personal app vibe coding that is actually safe — Kenton Varda, Cloudflare
5.6K views 68 likes 12 comments
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605 ↓3
AI powered entomology: Lessons from millions of AI code reviews — Tomas Reimers, Graphite
5.5K views 68 likes 1 comments
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606 ↓2
Real-time Experiments with an AI Co-Scientist - Stefania Druga, fmr. Google Deepmind
5.5K views 122 likes 2 comments
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607 ↓4
Practical tactics to build reliable AI apps — Dmitry Kuchin, Multinear
5.5K views 123 likes 16 comments
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608 ↓3
The Agentic AI Engineer - Benedikt Sanftl, Mutagent
5.5K views 77 likes 8 comments
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609 ↓3
Scaling Agents on Kubernetes with acpx and ACP — Onur Solmaz, OpenClaw
5.5K views 110 likes 5 comments
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610 ↓3
Building Agents at Cloud Scale — Antje Barth, AWS
5.4K views 124 likes 9 comments
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611 ↓3
Lobster Trap: OpenClaw in Containers from Local to K8s and Back — Sally Ann O'Malley, Red Hat
5.4K views 151 likes 11 comments
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612 ↓3
Building Multi agent Systems with Finite State Machines
5.4K views 167 likes 8 comments
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613 ↑1
Tolan: Voice-First AI Companion — Paula Dozsa, Tolan
5.4K views 33 likes 4 comments
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614 ↓4
Feedback Loops are All You Need — Mehedi Hassan, Granola
5.4K views 82 likes 4 comments
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615 —
How Forward Deployed Engineering is done at Factory — Eno Reyes
5.4K views 110 likes 5 comments
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616 ↓3
Information Retrieval from the Ground Up - Philipp Krenn, Elastic
5.4K views 124 likes 2 comments
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617 ↓6
Code Generation and Maintenance at Scale: Morgante Pell
5.4K views 149 likes 3 comments
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618 ↓6
"The biggest challenge in your stack? Evals, Evals, Evals" - 2026 State of AI Engineering results
5.4K views 94 likes 3 comments
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619 ↓1
AI on Your Lakehouse: Context Comes in Shapes, Not Queries — Zach Blumenfeld, Neo4j
5.4K views 49 likes 2 comments
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620 ↓4
Evals Are Broken, Use Them Anyway — Ara Khan, Cline
5.4K views 98 likes 3 comments
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621 ↓4
Building Reactive AI Apps: Matt Welsh
5.3K views 151 likes 11 comments
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622 ↑78
Are LLM Performance Benchmarks Reliable? — Ashok Chandrasekar & Jason Kramberger, Google
5.2K views 16 likes 0 comments
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623 ↓4
Lessons from Trillion Token Deployments at Fortune 500s — Alessandro Cappelli, Adaptive ML
5.2K views 83 likes 1 comments
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624 ↓4
Navigating RAG Optimization with an Evaluation Driven Compass: Atita Arora and Deanna Emery
5.2K views 175 likes 6 comments
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625 ↓4
The era of unbounded products: Designing for Multimodal IO: Ben Hylak
5.2K views 140 likes 5 comments
