Cilantrobyte.

Tech Stacks · Backend

Python

The right choice when AI or data sit close to the product.

Category

Backend

At the studio

Since 2018

Projects shipped

Numerous

Status

Active

(01) Our take

We reach for Python when a backend needs to share code with data pipelines, ML inference, or scientific libraries. FastAPI is our default web framework — it's the closest Python gets to the ergonomics of modern TypeScript.

For pure CRUD backends we'd usually pick Node or Laravel over Python, but the moment a service needs to call into PyTorch, pandas, or a scientific library, the calculus flips. Write the backend in Python and save the cross-process calls.

(02) What we build with it

Typical work

  • AI and ML inference services
  • Data processing and ETL pipelines
  • Backends for scientific or analytical products
  • Django-based admin-heavy applications

(03) How we engage

Engagement shape

Python engagements tend to be specific — an AI feature build, a data pipeline rebuild, or an existing Django application that needs new features.

(04) Pairs with

Works well with

Technologies we reach for alongside Python in most engagements.

Backend

Django

The batteries-included Python framework that still earns its place.

AI

Anthropic Claude

Our primary LLM provider.

AI

OpenAI

Still the most ubiquitous API in production AI.

Data

PostgreSQL

The default database. For almost everything.

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