Software development automation
Automate your software development lifecycle (SDLC) with AI agents.
From a business need to production, every piece of software goes through the same main steps: specification, code, tests, deployment. We connect AI agents to each of them, inside the tools you already use; your developers review their work and decide what goes to production.
Step by step
Agents at every step of the lifecycle.
We connect AI agents to the toolchain you already have: repositories, tickets, CI/CD. No need to change tools.
Specify
Turns a requirement into specifications and development-ready tickets.
Clear requirements from the start.
Code
Writes and refactors code in your repositories, reviewed by your developers.
More time for complex work.
Test and review
Generates tests, reviews every change, flags regressions.
Less back-and-forth, fewer defects in production.
Deploy and operate
Prepares releases, monitors, documents.
More frequent, safer releases.
Foundation
Agent orchestration
Coordinated agents, with human validation at sensitive steps.
Security and sovereignty
A perimeter you choose, including on a European cloud.
Protection of your data
Your data stays within your perimeter, with traceable access.
What your teams gain
Security and human control
Agents in your toolchain, your developers in charge.
Agents propose, your developers decide: nothing reaches production without human review, and every action is logged.
Proposed action
Release the reviewed fix to production
- Tests generated and passing
- Change review complete
- Access limited to the repository at hand
Audit log
- 10:02Ticket read and specified
- 10:05Fix proposed in a branch
- 10:07Tests generated and passing
- 10:08Release submitted for approval
- 10:09Approved, deployment logged
Your data stays with you
Agents and data hosted within your perimeter, on the cloud of your choice, European clouds included. Your data is never used to train models.
Least-privilege access
Each agent only reaches the data and tools its task needs, with limited, revocable rights.
Guardrails on every exchange
Sensitive data masked, hijacking attempts blocked, answers checked before any action.
People stay in charge
Payments, emails, releases, deletions: sensitive actions wait for sign-off from someone on your team.
Everything is logged
Every decision, tool call and approval is recorded and open to your teams.
Measured, capped, stoppable
Quality evaluated continuously, costs capped, alerts on any drift, and any agent can be stopped at any time.
Your data stays with you, and no sensitive action goes out without human validation.
Technologies
We work with your tools.
Software development
Related layers
The layers behind software development automation.
What is the SDLC?
The SDLC (software development lifecycle) is the set of steps that take a need to software in production: specification, design, code, tests, deployment, then maintenance. Automating it with AI agents means handing them the repetitive tasks of each step, under your teams’ control.
How do you automate software development with AI agents?
By connecting agents to your existing tools (repositories, tickets, CI/CD), step by step, with human review. We do it with your teams, as we did for ourselves.
Do agents replace your developers?
No. Agents prepare, propose and check; your developers review and decide. They save time on repetitive tasks and spend it on complex work.
Do you have to change tools?
No. We connect the agents to your existing repositories, tickets and CI/CD, step by step.
Is your data used to train models?
No. Your data stays within your perimeter, and we set up the models and their hosting so that it is not used for training.
Where should we start?
With a step that takes up your teams’ time, often code review or testing. A first scope often needs just one expert.