Kensink Labs
PythonLanguages & Frameworks8-week engagement
PYTHON · BACKEND + AI

Python where it is genuinely the right tool.

Python is the lingua franca of data and AI work, and a fine backend language with discipline. We bring the types, the tests, and the packaging that keep Python services from becoming a swamp.

PythonFastAPIPostgreSQLLLM API
Cycle
8 weeks · fixed price
Stack
Python + FastAPI
Output
Production code + eval suite
Handoff
Full source ownership
[THE SHORT VERSION]

Python is easy to start and easy to let rot. We do the second part.

Python wins when you touch data, ML, or AI tooling, because that is where its ecosystem lives. Its weakness is that nothing forces structure. We add type hints, strict linting, dependency pinning, and real tests so a Python service stays trustworthy past the prototype.

When it fits
  • Data pipelines, ML, or LLM tooling where the libraries live in Python
  • A backend whose team is strongest in Python
  • Glue between AI models and the rest of your system
When it does not
  • A latency-critical hot path better served by Go or Rust
  • A frontend, where it has no place
[HOW WE BUILD IT]

How we build with Python.

01

Typed and pinned

Type hints, strict mypy or pyright, and pinned dependencies. Python without these is a maintenance bill you pay later.

02

FastAPI for services

Typed request and response models, automatic OpenAPI, and async where it earns its keep.

03

Data and AI glue

Where Python shines: wiring models, embeddings, and pipelines to your data with eval coverage on the outputs.

04

Packaged and observable

Reproducible builds, container images, and observability. Handoff includes the runbook.

[WHAT YOU GET]

What the engagement leaves behind.

8 wks
Problem to production
100%
Source ownership at handoff
Eval-first
Tested before it ships
0
Framework lock-in
[COMMON QUESTIONS]

Questions we get asked.

FastAPI or Django?
FastAPI for typed APIs and AI services. Django when you want batteries-included admin, ORM, and auth for a content-heavy app. We pick per project, not per habit.
Is Python fast enough?
For most I/O-bound services, yes, especially with async. For CPU-bound hot paths we either offload to a faster language or to native libraries. We measure before deciding.
APPLIED K-FRAMEWORK

Bring the problem.
We’ll bring the build.

Eight weeks, fixed price, eval suite at handoff. Senior engineers, full source ownership, no framework lock-in.