Abyssguard Studios

AbyssGuard helps developers find security risks in code written with AI coding tools like Cursor, Copilot, Claude, and ChatGPT. AI-generated code often works, but working code is not the same as safe code. It can introduce exposed secrets, weak auth, unsafe API routes, insecure webhooks, risky dependencies, missing rate limits, and bad deployment defaults. These problems are easy to miss when developers are moving fast with AI. AbyssGuard scans a GitHub repository and produces a clear security report. It explains what is risky, why it matters, and what should be fixed first. The goal is not to overwhelm developers with generic scanner noise. The goal is to catch the kinds of issues that actually make AI-assisted projects dangerous to ship. The product is live today. It supports GitHub repository scanning, security reports, issue prioritization, paid deep reviews, account access, and early repair workflows. I am building toward continuous monitoring, so teams can connect a repo once and have AbyssGuard watch for risky AI-generated changes before they reach production. AbyssGuard is for solo founders, indie hackers, startups, and engineering teams that are shipping faster because of AI but still need a security layer before deploy.