AI agents no longer write only snippets; they write whole features, tests and migrations. The difference between a toy and a productivity jump lies in the way of working: clear task definitions, guardrails in the repository, review discipline and safe handling of credentials and data.

Implementation: we build with you

  • Features and migrations in your repository, with agentic tools and human review.
  • Repository setup for agents: instructions for agents, test coverage, linting and CI gates, so generated code follows the same rules as hand-written code.
  • Security by default: handling of secrets, permissions, sandboxing and dependency checks.

Workshops: your team learns to do it

Fundamentals How agentic tools work, where they are strong, where they fail. Prompting for engineering tasks, context management, typical failure patterns. With exercises on a sample project.

Hands-on In your codebase. We set up the repository for agentic work, implement real tickets together and define rules for review and security. The result is a team that can carry on Monday morning.

Tooling

We are vendor-neutral, work with the common agentic development tools and integrate them into your existing version control and CI environment.

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