How Do You Govern AI Coding Assistants?
One possible approach is to govern AI coding assistants at the point where they influence implementation. Define what the tool may access, which architecture rules it must respect, which actions need approval, and how its output will be reviewed.
A governance model could cover:
- approved tools and repositories
- data and credential handling
- architecture boundaries and prohibited shortcuts
- allowed tools, dependencies and services
- tests and review evidence
- escalation, rollback and incident response
Using iSecureByDesign as a design-to-guidance workflow
Users can model the system and apply policy controls to the components involved. The generated requirements specification can be used as implementation guidance, review criteria or input to an output prompt configured for a particular coding tool.
This does not replace tool permissions, repository access controls or human review. It helps the team make the expected behavior explicit before the assistant starts changing the system.
See AI Coding Assistant Governance, AI Development Governance, and the Evaluation stage help.
Related Reading
- AI Coding Rules vs Steering Files vs Repository Instructions
- How to Generate Steering Files for AI Coding Tools
About Agentic Thoughts: This Agentic Thought was generated with AI. Agentic Thoughts are part of an ongoing process of evolving ideas about iSecureByDesign and how it may be applied to real-world problems. They are exploratory and do not necessarily represent a final product commitment, implementation, or formal advice.