You built fast.
Do you know what you built?

You'll get a complete picture of your software system: how it's structured, what's working well, what's risky, and what needs fixing. Every issue comes with cost-to-fix and cost-if-ignored estimates. Think of it like a health checkup for your product. You'll walk away knowing exactly where you stand, what it costs, and what to do next.

Yes. The report is designed for decision-makers, not developers. You'll see a visual map of your system, risks ranked from urgent to minor, and a plain-English action plan. No jargon, just clarity on what matters.

According to GitGuardian's 2026 report, 35% of private repositories contain at least one plaintext secret. The Synopsys 2026 OSSRA report found that 87% of audited codebases had at least one known vulnerability. And Stanford/NYU research shows 40% of AI-generated code contains security flaws. These aren't theoretical. They're in production codebases right now.

Your code is completely safe. SystemAudit.dev reads your code through GitHub's official API, analyzes it in real-time, and never stores it. Nothing is saved, shared, or used to train AI. Only you see the results.

Under 3 minutes for most projects. You paste a link, the AI reads your entire system, and you get a full report. No scheduling consultants, no waiting weeks for results.

Yes. The free scan works with public repositories. Any paid plan (Starter at $49, Full at $99, or Scale at $199) supports private repositories. You connect your GitHub account securely and we analyze your system without ever storing your code.

We provide deep, framework-aware analysis for 9+ ecosystems: JavaScript/TypeScript (Next.js, Express, React), Python (Django, FastAPI, Flask), Java (Spring Boot, Maven, Gradle), Go (Gin, Echo, Chi), Rust (Actix, Axum, Cargo), C#/.NET (ASP.NET Core, NuGet), PHP (Laravel, Composer), and Ruby (Rails, Bundler). We parse dependencies, detect architecture patterns, and extract features for each framework. Beyond these, our AI analysis reads any language. The LLM understands code regardless of syntax.

Your system gets a letter grade from A to F, based on 5 dimensions: code clarity, test coverage, modularity, documentation, and type safety. Each dimension comes with specific evidence from your codebase, a plain-English explanation of what it means for your team, and a concrete action to improve it, including effort estimates. You also get an improvement trajectory showing how your score changes as you fix issues week by week, so you can track real progress.

No. The score is based on security and infrastructure checks weighted by severity. Critical findings immediately limit the maximum score, so a dangerous system cannot appear healthy. Every score is tied to the actual issues found — you can look at the risk list and see exactly why the number is what it is.

A traditional code audit costs $5,000 to $16,000 and takes 1 to 3 weeks. SystemAudit.dev gives you the same core insights (system map, risk assessment, fix priorities) in under 3 minutes, for free on public repos or from $49 for paid tiers.

Yes. Paid plans include a Developer Brief: a plain-text summary with your top 5 priority fixes, tech stack context, and effort estimates. Copy it, paste it into Slack or email, and your developer or freelancer can start immediately. No context-setting meeting needed.

Starter ($49) unlocks private repo support, all risks with cost estimates, feature verification, and PDF export. Ideal for MVPs up to 30K lines. Full Audit ($99) adds Developer Brief, benchmark comparison, improvement trajectory, business translation, and a priority fix plan. Best for startups up to 75K lines. Scale ($199) adds deep codebase coverage with import graph analysis, security pattern detection, and dependency health reporting. Designed for larger projects up to 150K lines. Above 150K, contact us for a custom enterprise plan.