How We Used AI Agents to Security-Audit an Open Source Project

Using sqry's code graph, parallel audit agents, and iterative Codex review to contribute security improvements to gstack. Garry Tan open-sourced gstack in late March 2026. It is a CLI toolkit for C...

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How We Used AI Agents to Security-Audit an Open Source Project

Source: DEV Community

Using sqry's code graph, parallel audit agents, and iterative Codex review to contribute security improvements to gstack. Garry Tan open-sourced gstack in late March 2026. It is a CLI toolkit for Claude Code with a headless browser, Chrome extension, skill system, and telemetry layer. The project attracted 30+ contributors within days. We wanted to contribute something useful. Security review seemed like the right fit. A headless browser that spawns subprocesses and handles cookies has a large attack surface, and security work tends to fall to the bottom of every fast-moving project's priority list. If you haven't read our earlier posts: sqry is an AST-based code search tool. It parses code like a compiler, building a graph of functions, classes, imports, and call relationships across 35+ languages. llm-cli-gateway orchestrates multiple LLMs (Claude, Codex, Gemini) through a single MCP interface. The Codex review gate is our practice of requiring unconditional Codex approval before shi

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