CodeRiskTools Blog
Practical risk controls for AI-assisted development
Guides, checklists, and alerts for reviewing AI-generated code, tightening CI gates, preventing secret leaks, and shipping safer WordPress/Gumroad product launches.
Latest CodeRiskTools posts
Seven current engineering playbooks per page, updated automatically after publication.
GitHub Copilot /security-review: Verify AI Findings Before You Commit
A practical workflow for scoping, verifying, testing, and recording GitHub Copilot /security-review findings before code lands.
Dependabot Default Cooldown: Review Version Updates Without Delaying Security Fixes
A practical workflow for reviewing Dependabot version updates under GitHub’s new three-day default cooldown without delaying security updates.
GitHub AI Security Detections on Pull Requests: A Triage Workflow
A practical workflow for enabling, identifying, triaging, and verifying GitHub AI security detections on pull requests.
GitHub Secret Scanning Extended Metadata: How to Triage Active Credentials
Use GitHub secret scanning validity and extended metadata to route, contain, rotate, and close credential alerts without spreading secrets.
GitHub Copilot Browser Tools: A Security Checklist Before You Enable Them
A practical, source-backed checklist for scoping GitHub Copilot browser tools, limiting domains and permissions, and reviewing evidence after each agent-driven test.
CodeQL System Prompt Injection Detection: A Practical Triage Workflow
A practical workflow for triaging CodeQL system prompt injection findings and verifying a structural fix.
Security Validation for Third-Party AI Coding Agents: A Practical Review Gate
A practical, evidence-led merge gate for pull requests created by third-party AI coding agents.
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CodeRiskTools content is practical engineering guidance, not a guarantee of security, compliance, revenue, or production readiness. Validate every checklist in your own repository, stack, CI system, and release process.