Tools

If you have built any non-trivial agent or RAG pipeline, you have probably been shocked by an API bill at least once. Not the training-side cost. The “every call stuffs a wall of context into the prompt” cost. For me it was Claude Code sessions: the tool outputs, the build logs, the RAG chunks I had been dumping in raw, then paying for by the million tokens. Then I ran into chopratejas/headroom, currently sitting at the top of GitHub’s monthly trending list with +41,093 stars this month. Its tagline reads: ...

The most expensive thing about being an AI engineer is not the model calls. It’s the meetings about the model calls. On 2026-06-18, Anthropic pushed out Claude Code Artifacts, and the timing feels deliberate. The product story they tell is small: a developer kicks off an incident investigation in Claude Code, and the agent publishes a page as it works. By the time standup starts, the page has refreshed twice, and the team is staring at the same URL instead of asking someone to walk them through what the agent found. That pitch is the entire reason I wanted to look at this. ...

I almost tweeted the Fable 5 launch post yesterday afternoon. Karpathy called it a “major-version-bump-deserving step change forward.” Alex Albert, Boris Cherny, Thariq, Garry Tan — all in. The first two stories on Hacker News were Fable derivatives. The timeline was begging me to do it. Then I opened the GitHub monthly leaderboard. mattpocock/skills added 56k stars in a month and cracked the top five.¹ Leonxlnx/taste-skill (a skill that teaches your AI taste) and hardikpandya/stop-slop (a skill that removes AI tells from prose) hit the same monthly chart the same month.² ³ Not one of them has “Fable” in the name. None of them are riding the model hype. They all do the same thing: make what the AI writes faster to review. ...