CodeInspector | Static Code Analysis & AI Code Review
Analyze your code, find quality and architecture issues, get recommended code changes, and improve your GitHub development workflow with CodeInspector.
Frequently asked questions
What is CodeInspector?
CodeInspector is an AI code review and static code analysis tool for Git repositories. It finds bugs, security risks such as SQL injection and hardcoded secrets, high complexity, empty catch blocks, and other maintainability issues, then shows each finding with its severity, file, line, and a recommended fix.
How does automated code review work in CodeInspector?
Sign in with Google, paste a public GitHub URL or connect your Git provider, and start a scan. Findings are sorted by severity. Open any finding in the Explorer to see it highlighted in your code, apply the recommended fix, and commit the change or open a pull request.
Is CodeInspector free?
Yes, you can start free. Every new account gets 100 free credits, enough to scan real repositories, including private ones, before paying anything. When you need more, buy a monthly or yearly credit pack, priced in your local currency on the pricing page.
What languages does CodeInspector support?
CodeInspector analyzes C#, Java, JavaScript, TypeScript, and C++. Python, Go, and PHP support is coming soon.
Can I scan private repositories?
Yes. Connect GitHub, GitLab, Azure DevOps, Bitbucket, Gitea, or Forgejo to scan private repositories you have access to. Public GitHub repositories can be scanned straight from their URL without connecting anything.
How does the AI help fix issues?
Each finding comes with an explanation and recommended code. In the Explorer you can also ask Gemini about a finding: it already has the rule, the file, and the surrounding code, and explains the problem and the fix in plain language. You review every change before it is committed.
Is my code safe?
Each scan runs in an isolated workspace, temporary files are removed when the scan finishes, and sensitive credentials are never exposed in reports.
Can I share results with my team?
Yes. Download a PDF report for any scan, create GitHub issues from findings, and use scan history to track how the number of issues changes over time.