Flask

Small by choice, not by limitation

Flask is a Python micro-framework: the core handles routes, requests and responses, and everything else comes in as an extension, only when the project needs it. That economy solves a real problem: small services that inherit a full framework carry layers nobody uses, and every layer is one more thing to understand, update and secure. With Flask, the code that exists is the code the service actually requires.

We use Flask where the scope is lean and well defined: an internal API, an integration service, the endpoint that serves a machine learning model or a data pipeline. It talks directly to Python's data and AI ecosystem, which shortens the path from notebook to production. When a project calls for an admin panel, complex authentication and many screens, we prefer a full framework: there, the ready-made structure pays for its own weight.

For the people hiring us, this means a service that is easy to audit and to hand over: fewer dependencies, a smaller surface to maintain, and a new team that understands the code in days. Flask is mature, stable and backed by Python's package ecosystem, which spans data to AI. And if the service grows beyond the plan, evolution starts from a small, readable base, not an opaque monolith.

• Internal APIs and lean microservices
• Endpoints for AI models and RAG
• Integration services between systems
• Webhooks and on-demand automations
• APIs over data pipelines and stores