I built a security scanner for AI-generated code — here's what it found

<h2> The risk in one paragraph </h2> <p>Every time your team deploys software to AWS, a pipeline authenticates with credentials that can modify production infrastructure. In most

<p>Stop merging vulnerable API code — automate PR security gates with Semgrep + Claude AI</p> <p>Every team says "we'll fix it after the merge."<br /> They rarely do.</p> <p>I

<h2> TL;DR </h2> <ul> <li>AI assistants trained on public repos reproduce hardcoded secrets because that's what they learned</li> <li>A pushed API key is effectively public even

<p>Most developer security content is a checklist you'll never finish.</p> <p>OWASP Top 10. Rotate your secrets. Use HTTPS. Thanks, very helpful.</p> <p><strong>The real gap in

<p>"Vibe coding" is everywhere. You prompt an AI, it writes your whole project, you ship it.</p> <p>Last week I reviewed 3 PRs from vibe-coded projects. All three had hardcoded

<p>Let me be upfront about something. For a while, our security process was basically vibes. Someone would glance over a PR, maybe catch an obvious thing, and we'd ship it. No

<h2> What I built </h2> <p>For Hacktoberfest 2026 Week 2's <strong>Side Hustle</strong> challenge, I built <a href="https://github.com/kushal-pandey/securelocal-ai" rel="noopener

<h2> Your Code Reviews Are a Bottleneck </h2> <p>Every engineering team has the same problem: PRs sit in review queues for hours (or days). Senior engineers spend 30% of their