AI codebase analyser and auto vs Wattfare

We added Python AI-app regex prefilters to getdebug and benchmarked against Bandit, Semgrep, and (attempted) vulnhuntr. Here's where each tool actually catches things, and...

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you.

About AI codebase analyser and auto

We added Python AI-app regex prefilters to getdebug and benchmarked against Bandit, Semgrep, and (attempted) vulnhuntr. Here's where each tool actually catches things, and where they don't. on a Python repo runs in milliseconds, costs zero, and now covers Python AI-app anti-patterns alongside the secrets + dependency-CVE passes it always ran. The interesting part is the benchmark we ran while developing them, against the three other tools anyone would compare us to. vulnhuntr (Protect AI, open source) is the stated category leader for AI-app static analysis.

About Wattfare

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you. OpenAI-compatible Works with the Vercel AI SDK ~5-min integration. One button connects a user's inference budget to your app, metered, capped, and revocable. The problem AI costs are the one line item you can't predict. Every AI app makes the same uncomfortable bet: price high enough to survive your power users, ration usage so nobody hurts you, or quietly lose money on the heavy ones.