Show HN: AI codebase analyser and auto-fixer (www.getdebug.dev)

The launch of getdebug CLI 0.4.0 introduces significant enhancements to AI application security with the inclusion of Python AI-app regex prefilters. This version extends the existing capabilities for JavaScript and TypeScript by offering deterministic checks for five critical anti-patterns: prompt-injection, unsafe-role-merge, PII-in-prompt, unbounded-stream, and unsafe-tool-output. These prefilters operate without calling any large language model (LLM), ensuring rapid analysis that runs in milliseconds at no cost, thus broadening the tool's applicability for Python AI applications and augmenting its previous features related to secrets and dependency vulnerabilities. The significance of this update lies in its targeted approach to AI-specific vulnerabilities that other tools such as Bandit, Semgrep, and vulnhuntr do not adequately address. Through benchmarks using controlled fixtures and real-world code, getdebug demonstrated superior precision and relevance in uncovering AI-app vulnerabilities compared to its competitors. For developers working on Python applications that interact with LLMs, the integration of this tool into their security workflow is essential, ensuring coverage for both general Python security and nuanced AI behavioral patterns that generic static analysis tools overlook. The release encourages community contributions to refine its capabilities further, emphasizing an open-source collaborative approach to evolving AI application security.