Augmented development / Software engineering

AI accelerates. Engineering stays in control.

We design your web applications with teams that use AI and Code Gen every day, while keeping our engineering, control and quality methods.

01/ Web & application development

Applications designed for your business.

Business applications, web platforms, APIs and services: solutions tailored to your usage and the requirements of your project.

  • Business applications

    We design applications tailored to the processes of each business line. Code Gen and AI make it possible to produce working prototypes very quickly, iterate with the project teams, then refactor or rebuild on an architecture suited to production.

  • Web platforms

    For lighter sites and platforms, we use headless solutions such as Payload in particular. Combined with Code Gen, they bring agility, development speed and integration flexibility.

  • APIs & services

    Service-oriented and micro-service architectures expose business features independently. APIs structure and secure exchanges between applications, services and third-party systems.

Strong Python / Django expertise

Python and Django are at the heart of many of the business applications we build. Their ecosystem provides a robust foundation — users, permissions, data, administration, security and APIs — so we can focus on business features and speed up the delivery of scalable applications.

Business application dashboard and API window with GET and POST requests
Developer in front of two code screens, with an AI suggestions panel

02/ AI-augmented development

AI at the service of production.

Our teams integrate AI throughout the development cycle to speed up code generation and analysis, refactoring, tests, documentation and problem solving. The goal: increase production capacity while keeping technical control, quality and human validation.

  • Code production

  • Code analysis

  • Refactoring

  • Documentation

  • Tests

  • Problem solving

LLMs tested in real conditions

Our teams regularly evaluate several models on real projects, bugs and development tasks: Qwen, DeepSeek, Devstral/Mistral, Gemma, Llama, GLM, CodeLlama or Moonlight. Today, Qwen 3.8 is the main model used in production, with a selection that evolves according to observed performance and uses.

03/ LLM & Code Gen

The right models for your projects.

Developers access a centralised LLM infrastructure and different models selected according to technologies, projects and uses.

  • Centralised infrastructure

    Shared access to LLM resources.

  • Suitable models

    A selection based on technologies and needs.

  • Code Gen every day

    Assistance built into the developers’ work.

Central LLM server linked to three code and interface windows

04/ Code quality & control

More capacity. The same standards.

Architecture, Git, code reviews, tests and human validation remain at the centre of the process.

  • Architecture

    Structured design and controlled technical choices.

  • Git & code reviews

    Versioned, reviewed changes.

  • Tests

    Checks built into development.

  • Human validation

    Teams accountable for the code delivered.

Code Gen increases production capacity; it does not remove engineering controls.

Two developers reviewing code in front of screens

Let’s build your next application.

Let’s talk about your usage, your constraints and your goals.