Python
The language most of our backend work is written in.
Services, workers, integrations and data pipelines — written with types at the boundaries and tests around behaviour.
- Python 3.12+
- FastAPI
- Django
- Pydantic
- Pytest
- SQLAlchemy
Expertise
This is not a logo wall. Every technology below is one we use in delivered work, listed with the reason we reach for it and the trade-off that comes with it. If something is missing from this page, assume we do not do it.
Areas
A small team with deliberately overlapping skills, rather than separate departments that hand work over.
The language most of our backend work is written in.
Services, workers, integrations and data pipelines — written with types at the boundaries and tests around behaviour.
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.
Server-rendered by default, interactive where it matters.
Next.js App Router with React server components and TypeScript — fast first paint, real URLs, and client-side code kept to what interaction actually needs.
Model calls are the easy part. The engineering is around them.
Retrieval pipelines, tool layers, structured output and evaluation harnesses — the scaffolding that turns a model call into a system you can depend on.
The connective tissue between the tools you already pay for.
n8n workflows, webhook endpoints and typed API clients that move data between your systems reliably — with retries, idempotency and logs you can read.
Every technology named on this site
Technologies we work with: Python 3.12+, FastAPI, Django, Pydantic, Pytest, SQLAlchemy, Celery + Redis, Docker, FastAPI routing, Dependency injection, Async I/O, OpenAPI generation, Pydantic models, Pydantic settings, Pytest fixtures, Coverage and CI, Next.js App Router, React server components, TypeScript, Server actions and route handlers, next/font and next/image, Design tokens in CSS, Accessibility patterns, Supabase client, Anthropic Claude API, OpenAI API, LangChain, Model Context Protocol, Vector search, Structured output, Evaluation harnesses, Cost and latency instrumentation, n8n, Webhooks, REST and GraphQL clients, Stripe, Supabase, Message queues, Scheduled jobs, Structured logging.
Industries
We will not claim deep domain expertise we have not earned. These are the sectors we have delivered in, with the use cases that recur.
Early product teams that need a backend, an API and a working release pipeline faster than hiring allows.
Typical work
Agencies, consultancies and practices where the margin sits in how efficiently work is coordinated and billed.
Typical work
Online retailers who need storefront performance, clean tracking and support that scales through peak periods.
Typical work
Course providers and training businesses with content to deliver, cohorts to manage and enquiries to answer.
Typical work
Logistics, field service and back-office teams running critical processes on spreadsheets and shared inboxes.
Typical work
Publishers and creator businesses where production throughput and organic discovery decide the outcome.
Typical work
We review architectures and codebases as a fixed-scope engagement. You get a written assessment whether or not you hire us to act on it.