12K Stars, 3.4K Daily: "AI Red Team" Tool Tops GitHub Trending

Meet Shannon, the world's first open-source fully autonomous AI penetration tester. Multi-agent architecture powered by Claude delivers real exploits, not false positives. 12K GitHub stars.

Over the past two years, writing code has been completely “accelerated” by AI.

With tools like Claude Code, Cursor, OpenCode, and various Agents coming online, one person can now accomplish in a single day what used to take a whole week. Feature iteration speed has reached unprecedented levels.

AI has indeed boosted our development efficiency by 10×. But behind this “headlong rush forward,” there’s one deeply unsettling issue that everyone seems to be selectively ignoring:

The faster AI writes code, the more security landmines it leaves behind.

Ordinary logic bugs can still be caught through testing, but deeply buried SQL injection points, authorization bypass logic flaws, or even backdoors caused by AI hallucinations — traditional static analysis tools (SAST) simply can’t detect them.

Manual penetration testing? Too expensive and too slow — it can’t keep up with AI’s iteration speed at all.

And just today, a lifesaver shot to the top of GitHub Trending: Shannon.