Case study
Switch Trust
Engineering

Codility works with Switch AI by SandboxAQ on AI agentic governance for engineering teams

“
We want AI agents to contribute to real engineering work. We need to understand their access, test their behavior, and assess their value. Our collaboration with Switch AI is about making those checks practical and using AI efficiently. That is the direction we want to help shape.
Radu Farcas
Chief Technology Officer at Codility

Codility is working with Switch AI to explore how engineering teams can gain better visibility into their use of AI. The aim is for AI agents to become accountable participants in engineering work.

The collaboration started with repository scans using Switch AI. Codility’s early evaluation focused on finding where agents, models, and tools appear in its code. What the team learns shapes its feedback on what useful AI governance should provide.

Codility’s priority is visibility that fits existing engineering workflows. Teams need to know what agents can access, spot security risks, and decide where controls belong. They also need control over the data they share.

As a design partner, Codility brings practical engineering feedback to Switch AI’s development. Its priorities include repository-level visibility, security checks informed by OWASP guidance, and targeted testing of agent behavior. Cost visibility and cost optimizations remain part of that broader goal.

The partnership aims to help engineering teams adopt AI with clearer ownership and practical safeguards.

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