We bring coding agents into your team's development process, on the models and the infrastructure you choose, with the costs estimated before the investment.
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An agent writes in minutes what used to take a day, and the bottleneck moves further down the line: review, automated tests, integration, and the time it takes to work out whether that code really does what it has to do.
So the work starts from the process rather than the tool: where the code lives, how it is tested, who approves a change and which parts stay out of the agent's reach. The agent comes into rules that are already written, and whoever integrates the code answers for what goes live.
Claude: la guida completa, a free public manual by Gian Angelo Geminiani on the AI assistant we use, updated alongside the product. It is in Italian.
The applications in the catalogue are published under the Apache-2.0 licence, tests included: read them and try them.
Software development with Claude Code: four hours, over two sessions, for people who write code every day.
Software designed and developed entirely in Europe.
The four-hour course on Claude Code is in the training catalogue; if the code cannot leave, the choice is on-premise AI.
Commercial models, open models on your own machines, or a mix of the two: the choice follows from where the code is allowed to be.
Consumption is measured on real tasks and projected onto the team's workload, before the investment.
Instructions written next to the code: style, structure, tests to pass and parts the agent leaves alone.
Training is part of going live: developers learn to read, correct and turn down what the agent proposes.
How the team works today: branches, reviews, tests, releases. The agent goes in here, not beside it.
Model and infrastructure, following where the code is allowed to be and what you want to spend.
Instructions in the repository, automated tests and limits on what the agent may change.
Time per change, defects caught in review and cost per task, set against the starting point.
Only if you decide it does. With models running on your own machines the code stays there; with commercial models you pick the plan, and the place of processing and the confidentiality terms are fixed in the contract before anything starts.
It is measured before the decision: real tasks are taken from your own archive, run with the agent, and the consumption is counted. Out of that comes the monthly cost per developer, and the decision is made with a number in hand.
No. The agent works on the repository you have, with the language and the tools you use. The rules we write live inside that repository, so they stay even on the day you change model or supplier.
Whoever integrates it and signs it. That is why the process has a person's review and automated tests before every integration: the agent proposes, the person approves.
Yes, and it is one of the uses that pays off most: reading code nobody has looked at for years, explaining it and proposing small, checkable changes. The limit is not the age of the code but how many automated tests it has: where they are missing, writing them is the first job.