Coding Agents Are Secretly General Agents
From Agentic Conversations (formally mlops.community) by Demetrios
June 27, 2026 · 1h 12m
About this episode
This episode explores the concept of coding agents as generalist agents and their implications for automation and AI development.
In this episode: 🧠 Coding agents are generalist agents — why "positive transfer" means an agent that's better at code is better at everything, and how that makes them "AGI-complete" ⏳ "Code will be solved in a year" — what the automation of knowledge work actually looks like, and why Jay joined ClickUp to be on it 🏗️ Why the labs are crushing AI startups — free-for-two-years deals, Windsurf losing Claude access, and the brutal economics of building on top of frontier models 🔗 The real moat is convergence — context, surfaces, and unit economics, a.k.a. "Cursor for your whole job" 💬 Slack's data walls & the Glean problem — why fragmentation is the enemy and a single system of record wins 🧪 RLVR & verifiability — why code became the perfect training ground for agents, and how to tell if you're even getting better 🔬 LLMs are running the frontier of science — Putnam 12/12, Erdős problems, simulating a cell, and vibe-writing economics papers 🚗 The car wash test that still breaks GPT-5 — spiky models, world models, Plato's cave, and the "stochastic parrot" debate 🏖️ Plus: mechanistic interpretability as "brain surgery," catastrophic forgetting, the danger of deleting…
People in this episode
Host: Demetrios
Guest: Jay Hack
Topics covered
- coding agents
- AGI-complete
- automation of knowledge work
- AI startups
- fragmentation in data systems
- mechanistic interpretability
- LLMs in science
Keywords
- coding agents
- AGI-complete
- automation
- AI startups
- fragmentation
- LLMs
- mechanistic interpretability
- knowledge work
Mentioned in this episode
Organizations: ClickUp, MLOps Community
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