Pydantic Validators: field_validator and model_validator
Choose the correct validation layer and keep rules predictable, testable, and free of I/O.
Building, consuming, and integrating REST APIs
Choose the correct validation layer and keep rules predictable, testable, and free of I/O.
Authenticate shared-secret messages and compare signatures without content-dependent shortcuts.
Test FastAPI routes through their HTTP contract and replace external dependencies with guaranteed cleanup.
Reuse connections with ClientSession, configure deadlines, and bound concurrency when consuming APIs.
Model realistic journeys, ramp traffic gradually, and read percentiles and failures without creating an accidental attack.
Make HTTP requests with pooled connections, explicit timeouts, and the same core interface in synchronous or asynchronous code.
Start processes with separate arguments, enforce time limits, validate results, and keep untrusted input away from a shell.
Find potentially unsafe code patterns, investigate their context, and keep exceptions narrow and reviewable.
Compare resolved dependencies with known-vulnerability databases and turn findings into reviewable upgrades.
Generate unpredictable recovery and confirmation tokens, store only a digest, and enforce expiration and one-time use.
Organize shared API logic with FastAPI Depends, Annotated, sub-dependencies, yield, and test overrides.
Version schema changes with Alembic and SQLAlchemy, reviewing generated migrations before applying them safely.