Blog.
Notes from the people building OpenChamber: how agents behave in real work, what we ship, and what the data says.
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- OpenChamber 2.0: it's getting hot reload in here OpenChamber 2.0.0 moves to OpenCode 2. Skills, agents, MCP servers and config now apply the moment you save them, plugins can bring whole features, and we used that to ship web search, Code Mode, plugin status and a stats page. Here's what changed, what's next, and a thank-you to the OpenCode team.
- A year of AI coding complaints: what stopped hurting and what took its place 66,320 Reddit complaint posts about AI coding agents, labelled into 62 mechanisms and counted month by month. Wrong code fell from first place to seventh; the cost of a run went from ninth to third.
- Auto mode: an experiment in letting a 250 ms model pick the model for every message We put Jev in front of every message in OpenChamber so a cheap classifier picks the model. It worked great until I typed "do it". Here's what we experimented with, where it pays off, where it doesn't yet, and what we learned about asking a model the right question.
- Jev by TypeSafe AI: 193× in the headlines, 7× in user reports We analysed 12,759 tweets about Jev's launch to separate TypeSafe AI's speed and cost claims from users' reported results and see where a decision model fits.
- AI coding agents in 2026: a practical guide to 36 tools Compare 36 coding agents and workspaces by how they work, what they cost, and how much control you keep over your code and models.