Experimenting with Starlette 1.0 with Claude skills
Highlights
- ▸Starlette 1.0 is finally stable — the framework FastAPI is built on, but which has its own identity worth adopting directly for stability-sensitive projects
- ▸Claude skills are how you teach an agent a fresh library version it wasn't trained on — the mechanism for staying current without model retrain cycles
- ▸Without a persistent-skills mechanism, coding agents are stuck in their training-data snapshot — the skills layer is why Claude Code stays useful on new releases
Original excerpt
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Starlette 1.0 is out! This is a really big deal. I think Starlette may be the Python framework with the most usage compared to its relatively low brand recognition because Starlette is the foundation of FastAPI, which has attracted a huge amount of buzz that seems to have overshadowed Starlette itself.
Kim Christie started working on Starlette in 2018 and it quickly became my favorite out of the new breed of Python ASGI frameworks. The only reason I didn’t use it as the basis for my own Datasette project was that it didn’t yet promise stability, and I was…
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