Contract-first delivery
Schemas and route signatures are agreed and published first, so frontend and backend work proceed in parallel.
Three tools that make a Python API predictable.
Typed routing, validated contracts and a test suite that means something — the combination we reach for on nearly every API engagement.
In this stack
The stack
Written as a reason rather than a feature list, because the reason is what tells you whether it applies to your project.
Path, query and body parameters are typed, so the signature is the specification.
Auth, database sessions and configuration injected per request, which makes handlers trivial to test.
Used where the service is I/O-bound. We do not make everything async for its own sake.
Documentation derived from the code, so it cannot drift from the implementation.
Request, response, settings and message payloads validated at the boundary, with precise errors.
Environment configuration parsed and validated at startup, so a bad deploy fails immediately and loudly.
Database isolation per test, factory helpers and shared setup without hidden coupling.
Suite runs on every change; coverage is reported and gaps are named rather than ignored.
Applied
The kinds of systems this area of the stack is actually used to build.
Schemas and route signatures are agreed and published first, so frontend and backend work proceed in parallel.
Malformed input is rejected at the edge with a documented error instead of reaching business logic.
Behaviour is pinned by tests before refactoring, which is what makes later changes cheap.
Consumers get accurate, generated OpenAPI docs they can explore and generate clients from.
Where it is applied
FastAPI services, data-validation layers and automated test suites — Python backends built to be read, extended and trusted by whoever maintains them next.
02Custom Model Context Protocol servers that expose your data and actions as typed tools — with authentication, scoped permissions and audit logging built in from the start.
03Support agents, document processing, lead qualification and multi-step workflows — built on retrieval over your own content, with evaluation and escalation designed in.
Also in our stack
The language most of our backend work is written in.
Server-rendered by default, interactive where it matters.
Model calls are the easy part. The engineering is around them.
The connective tissue between the tools you already pay for.
Tell us what you are building and where it is getting difficult. You will get a straight technical answer before any commercial conversation.