AI is changing software development at a rapid pace. LLM-driven coding agents can write, test and refactor code, and teams that use them well deliver faster than ever. But without the right approach, the same tools produce code nobody understands, security holes and growing technical debt. Trilobit helps you get the benefits of AI without losing control.

From Classic Development to AI Agent Supported Development

Adopting AI is more than handing out licenses. Getting real value out of AI agents takes new ways of working, clear agreements and solid guardrails. We guide your organization through that transition:

  • Assessing where AI adds value in your development process, and where it doesn’t
  • Selecting and setting up the right tools, from AI coding assistants to autonomous coding agents
  • Designing workflows where developers and AI agents work together effectively, including code review and testing
  • Guardrails for quality, security and privacy: what code and data may and may not be shared with AI
  • Integrating AI agents into your CI/CD pipelines and existing development practices
  • Hands-on coaching and workshops for your development team

Vibe Code Cleanup

AI makes it possible to build a working application quickly, even without deep programming knowledge. That is a great way to validate an idea, but “vibe-coded” projects often hit a wall once they grow: every change breaks something else, nobody knows exactly how the code works, and adding features gets slower and riskier.

From “it works, somehow” to “it works, and we know why”.

Recognize this? We help you get control back over your source code:

  • An analysis of the current codebase: architecture, code quality, security and dependencies
  • A clear, prioritized plan: what can stay, what needs to be improved and what is best rebuilt
  • Refactoring towards a clean, understandable structure, step by step and without starting over from scratch
  • Adding automated tests, so changes can be made safely
  • Fixing security issues such as exposed secrets, missing input validation and vulnerable dependencies
  • Setting up CI/CD, code reviews and documentation, so quality stays under control from now on

The result is a professional, maintainable codebase you can confidently continue building on, with or without AI.