What’s notable here isn’t a flashy model name so much as what a “.2” implies: incremental refinement. Under the hood, point releases in the GPT line typically prioritize reliability over raw novelty-think tighter tool-call accuracy, saner JSON mode, steadier long-context recall, and fewer tail-latency surprises-because those are the

Litestream’s latest addition, a SQLite Virtual File System (VFS) module, pulls its replication logic straight into the database’s I/O layer. Under the hood, the VFS hooks SQLite’s write and sync operations so WAL frames can be captured deterministically and streamed to object storage without relying on

A Show HN post chronicles something more useful than a flashy demo: 200 iterative passes asking Claude to improve a live codebase. What’s notable here isn’t raw codegen, but repeatability. Sustained runs like this pressure-test where LLMs are reliably helpful: small, auditable improvements that accumulate without breaking intent.