“Well this reads as quite the combo breaker, at least with agents powered by LLMs ~3 months ago, developer-submitted and LLM-created AGENT md files don't seem to improve task performance for python projects, but do burn ~20% more tokens arxiv.org/abs/2602.11988”
“Boris Cherny’s 5 stages of AI adoption for software teams: Gated: Restricted access to AI. Assisted: 1 agent per dev(high supervision). Parallel: 10 agents per dev(AI codes, humans verify). Autonomy: 100 agents per dev(AI verifies). AI-Native: 1,000+ agents…”
“So Boris Cherny's stages of AI adoption is cool-sounding at all, but the product he works on (Claude Code) hasn't gotten that much better since ~3-4 months ago IMO, so this is either something written as a retrospective or it's not resulting in significantl…”
“I also don’t buy the idea of “not reasoning”, mostly because I think such a concept takes many forms. But even then we’re finding that they’re internally planning ahead and not just spitting out the next word www.anthropic.com/research/tra...”
“This was a good read on the org dynamics side of things: > It’s now a few months later, and the tokenmaxxing policies had their intended outcome: everyone is using AI to code, at least a little bit. 12gramsofcarbon.com/p/agentics-t...”
apenwarr.ca: Alarmed at this trend of people finally realizing MCP is a pointless abstraction, then skipping right over publishing a regular boring API, and instead launching new CLIs for agents to use for some…
apenwarr.ca: I mean, it’s not *really* baffling. It’s Conway’s Law and the people who own the API wouldn’t listen to you and you weren’t allowed to publish a second API after people saw through the MCP trick, b…
Phillip Carter: Also, IME the overlap between people who say "you are bad for using AI, ask a real expert instead" and people who treat you like shit for asking them a question is quite high
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