What is code governance?
Code governance is the policies and checks that keep a codebase secure and maintainable as AI agents write more of it. Scope, and how to implement it.
The emerging discipline of governing codebases without human bottlenecks.
Code governance is the policies and checks that keep a codebase secure and maintainable as AI agents write more of it. Scope, and how to implement it.
A code fix is a targeted change to source code that resolves a specific defect, vulnerability, or quality issue — distinct from a refactor, which improves structure without changing behavior.
Agentic AI in software development refers to AI systems that take multi-step actions autonomously — reading code, running tools, generating changes, and verifying results — rather than responding to a single prompt.
Agentic code review uses AI agents that take multi-step actions — reading context, running tools, generating fixes — rather than passively generating comments on a pull request.
Automated code remediation uses software tools to generate and apply fixes for code defects — ranging from rule-based linter auto-fixes to AI-generated, test-verified pull requests.
Autonomous code governance is the practice of enforcing code quality, security, and standards without human bottlenecks — using AI agents that find, fix, and verify issues end-to-end.
Autonomous code remediation is the automated process of detecting code issues and generating verified fixes without human intervention — from finding a vulnerability to opening the pull request.
A code governance policy is a set of enforceable rules that define how code must be written, reviewed, and maintained — covering security standards, quality thresholds, and architectural conventions.
Proactive code security continuously scans and remediates vulnerabilities across the entire codebase — before they reach production — rather than waiting for a PR, incident, or audit to trigger action.