WhatA security review platform that uses local or cloud LLMs to find vulnerabilities in codebases and automatically generates verified, tested patches — not just bug reports.
SignalA commenter reports using Qwen for security reviews and notes it is good at finding bugs but poor at writing fixes, revealing a concrete gap between detection and remediation that current AI security tools fail to bridge.
Why NowLLMs are now capable enough to identify real security vulnerabilities in code, but the patch-generation side remains unsolved — creating a narrow, high-value problem to focus on as AI code review matures.
MarketEnterprise security teams and DevSecOps; ~$5B application security testing market; Snyk, Semgrep, and GitHub Advanced Security focus on detection, leaving automated remediation underserved.
MoatCurated dataset of vulnerability-to-verified-patch pairs is extremely hard to build and becomes a compounding data advantage.
Qwen3.6-35B-A3B on my laptop drew me a better pelican than Claude Opus 4.7View discussion ↗ · Article ↗ · 419 pts · April 16, 2026
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