STARLETTE 1.0 LANDS: NEW LIFESPAN API AND AN LLM SKILL TO GENERATE 1.0‑CORRECT APPS
Starlette 1.0 ships with a new lifespan API and some breaking changes, and Simon shows how to teach an LLM to generate 1.0-ready apps. Starlette 1.0 is out, wi...
Starlette 1.0 ships with a new lifespan API and some breaking changes, and Simon shows how to teach an LLM to generate 1.0-ready apps.
Starlette 1.0 is out, with a key change: the on_startup/on_shutdown hooks are replaced by a lifespan async context manager. Simon walks through what changed and why it matters in Experimenting with Starlette 1.0 with Claude skills.
He then built a reusable Starlette 1.0 skill so Claude can emit code that uses the new patterns. Handy if you’re scaffolding services or migrating examples.
Starlette underpins FastAPI, so 1.0 changes will ripple into many Python services.
The lifespan API simplifies resource management and can reduce shutdown edge cases.
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terminal
Migrate a small Starlette/FastAPI service to the lifespan context manager and verify startup/shutdown cleanup, cancellation, and signal handling.
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terminal
Use the Starlette 1.0 skill to scaffold a minimal app, then run it through CI, type checks, and async load tests.
Legacy codebase integration strategies...
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Audit code for on_startup/on_shutdown usage and plan a staged migration to lifespan; watch dependency pins if you’re on FastAPI.
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Add integration tests around startup/shutdown to catch regressions during the bump.
Fresh architecture paradigms...
- 01.
Start new services on Starlette 1.0 using the lifespan pattern for DB pools, clients, and background tasks.
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Use the skill to bootstrap templates but lock exact versions in pyproject and CI to keep generated code reproducible.