Guide articles.
14 articles in guide.
What Should an AI Code Quality Checker Actually Check?
A vendor-neutral evaluation framework for AI code quality tools: coverage, reproducibility, signal, context, security, workflow, privacy, remediation, and measurable review value.
Read more →AI Code Security Review Checklist: From Prompt to Production
A practical security review for AI-generated code covering identity, data, execution, dependencies, operations, and the AI-specific ways controls get bypassed.
Read more →AI Slop Is DDoSing Open Source: A Maintainer Policy That Protects Review Time
AI-generated contributions can turn openness into an unpaid verification queue. This evidence-based maintainer policy preserves review capacity without banning responsible tool use.
Read more →How to Review AI-Generated Code: A Four-Layer Checklist
A practical review order for AI-generated pull requests: prove behavior, verify intent, inspect security boundaries, then reduce maintenance cost. Includes a copyable checklist for teams.
Read more →Slopsquatting and Hallucinated Dependencies: A Software Supply-Chain Guide
Coding agents can invent plausible package names. Attackers can register them. Learn the slopsquatting attack chain, how to verify dependencies, and which controls belong before install, in CI, and at runtime.
Read more →How to Stop AI-Generated Technical Debt Before Merge
AI-generated debt is cheapest while the pull request is still open. Use this evidence-based workflow to detect unnecessary code, weak tests, unsafe shortcuts, and ownership gaps before they become maintenance work.
Read more →How to Vibe Code Without Degrading Your Codebase
A practical vibe-coding workflow that preserves speed without outsourcing understanding: small contracts, bounded diffs, executable gates, adversarial tests, minimum-patch review, and ownership.
Read more →The Engineering Manager's Guide to AI-Generated Code Quality
A practical 30-day rollout for measuring AI code review pressure, piloting quality controls, tuning signal, and enforcing standards without invented ROI.
Read more →Automated Code Review for AI-Generated Code: The Workflow That Holds
AI-generated code changes the code review workflow. Here is how teams can combine deterministic quality gates, agent handoff, CI, and human judgment without drowning reviewers in bigger PRs.
Read more →AI Slop: How to Detect and Prevent Low-Quality AI Code
AI slop compiles, passes tests, and still weakens your codebase. Here is what it is, the named patterns that give it away, how to detect them, and the workflow that keeps them out of review.
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