A team of agents that writes the code. And a person in charge.
The problem
The list of technical tasks grows faster than the team. Hiring is slow. And using AI to write code without control is scary, with good reason.
How we solve it
You assign a task and a team of agents plans it, codes it and tests it, each in its own isolated copy. Before production, four different agents (security, accessibility, quality and functionality) and a person review it. You follow progress on a dashboard.
What it includes
A team of agents per task
It plans, codes and tests it, each agent in its own isolated copy of the code.
Four review agents
Security, accessibility, quality and functionality, before production.
A person in charge
They approve each objective and decide whether the change goes in.
A dashboard with the progress
You see what each agent is doing and where each task stands.
Inside this service
Agent orchestrator
A director splits each goal between several agents working in parallel. A person approves.
Code review
Four agents review every change before production. A person decides whether it goes in.
Development from an issue
Assign the issue to the agent and development starts on its own. A person reviews and merges.
Tickets up to date
The agent keeps ticket status up to date. A person sets priorities and decides.
Debate between models
Two AI models debate an idea and check every fact. A person decides with the verified facts in front of them.
Knowledge per client
Each project's knowledge, indexed and isolated per client. A person decides what goes in and who has access.
Interface design
The agent builds, reviews and polishes interfaces with our own design guide. A person chooses the direction.
Agent-ready website
An AI agent can fill in the website's contact form. A person always sends it.
How it is built
A director coordinates one lead per objective and several agents in parallel. None of them publishes without passing tests or approves its own work. Passwords never reach the model. It is how we develop ourselves, every day.
Each agent works in its own isolated copy of the code. Pushing the code and opening the merge request only happen through a controlled channel, which checks the tests and verifies every publication.
The review is adversarial validation: when a change is ready, four agents attack it, each from its own specialty, and what they find is fixed, in a loop, until it is approved. Merging and going to production are always done by a person.
Development also starts from an issue: once it is assigned, the agent does the functional analysis, creates the branch, opens the draft merge request and implements it. A person reviews the result.
Frequently asked questions
Who decides what reaches production?
Always a person. The agents plan, code, test and review; merging the change and taking it to production are done by a person.
What do the four agents review?
Each one looks at the change from its own specialty: security, accessibility, quality and functionality. What they find is fixed and reviewed again until it is approved.
Do the agents see our passwords?
No. Passwords never reach the model, and each agent works in an isolated copy of the code with the scope of its task.
Does it replace our development team?
No. Your team assigns the tasks, approves the objectives and decides what goes in. The agents take on the work that is waiting in the backlog today.
The next step
Tell us how you work today and we will tell you where to start.