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.
Gumroad launch QA checklist: what to verify before publishing a ZIP product
A practical Gumroad launch QA checklist for ZIP-based digital products: file integrity, SHA256, listing honesty, support policy, and public smoke tests.
Prompt injection in AI-generated code: how to spot and prevent malicious prompts
AI coding agents are transforming how developers write software. Tools like GitHub Copilot, Cursor, Claude Code, and Codex generate millions of lines of code…
Vibe coding security: why fast AI code needs slow review
Vibe coding — the practice of writing software by describing what you want to an AI assistant and accepting its output with minimal review…
AI coding agents and supply chain risk: how to verify dependencies before merging
AI Coding Agents and Supply Chain Risk: How to Verify Dependencies Before Merging When an AI coding agent adds a dependency to your project,…
Secret scanning for AI-generated code: why your diff might be leaking API keys
Detect secrets in AI-generated code before merge by scanning diffs, generated files, configs, tests, fixtures, and CI output.
CI gates for AI-generated code: stop risky changes before they reach production
CI gates for AI-generated code should block secrets, risky dependencies, missing tests, and unreviewed high-risk changes before merge.
Agentic coding risk review: a practical workflow for teams using AI coding agents
A long-form practical workflow for reviewing AI coding agent changes before merge, with security, data, dependency, testing, and rollback checklists.
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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.