Get an AI-powered technical debt report for any GitHub repository in under a minute. Identify maintainability issues, estimate cleanup effort, and receive a professional engineering report before writing a single line of code.
Overall Grade
B+
Technical Debt
12h
Issues Found
23
Lines Scanned
14.2k
Issue Breakdown
AI Executive Summary
This codebase shows moderate technical debt with 23 identified issues. The most critical concerns involve outdated dependencies and insufficient test coverage. Estimated cleanup effort is 12 hours of focused engineering work.
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Every codebase has skeletons. The question is whether you know where they are before they break something.
You just landed a new client and their codebase is a nightmare. No documentation, inconsistent patterns, and zero tests. You need to know what you are walking into before you quote.
Your team wants to refactor, but nobody can estimate how long it will take. Stakeholders need numbers. You need a data-driven breakdown of what needs fixing and how much time it will cost.
Bidding on a project without understanding the underlying code quality is gambling. One hidden dependency can blow your timeline and your margin. Get the full picture first.
A complete toolkit for understanding, communicating, and acting on technical debt.
Our AI engine scans every file, function, and dependency to build a comprehensive picture of your codebase health in seconds.
Get precise hour estimates for cleanup work based on issue severity, codebase size, and complexity metrics derived from real projects.
Each issue is graded from Critical to Low so your team knows exactly what to tackle first. No more guessing priorities.
A one-page overview written in plain English that non-technical stakeholders can understand and act on immediately.
Categorized findings across security, performance, maintainability, and architecture with line-by-line references to your code.
Beautiful, shareable reports that look like they came from a senior engineering consultant. Export to PDF or share via link.
No walls of text. No meaningless metrics. Just clear, actionable insights presented beautifully.
Overall Grade
B
Technical Debt
12h
Issues Found
23
Lines Scanned
14.2k
AI Executive Summary
This codebase shows moderate technical debt with 23 identified issues across 4 severity levels. The most critical concerns involve outdated dependencies and insufficient test coverage. Estimated cleanup effort is 12 hours of focused engineering work.
3
Critical
7
High
9
Medium
4
Low
Technical Debt
12 Hours
Grade
B
Issues
23
AI Summary
Ready
Three simple steps. No setup. No configuration files. Just paste a GitHub URL and let the AI do the rest.
Paste any public GitHub repository URL. We support all major languages and frameworks.
Our AI analyzes structure, dependencies, patterns, and anti-patterns across your entire codebase.
Get a polished HTML report with grades, estimates, and actionable recommendations delivered to your inbox.
No hidden fees. No enterprise sales calls. Just the tools you need at a fair price.
Perfect for freelancers and one-off project assessments.
Built for agencies, consultancies, and teams managing multiple codebases.
All plans include secure processing and no source code storage.
Everything you need to know before getting started.
Most scans complete in under 60 seconds for repositories under 100,000 lines of code. Larger codebases may take up to 3 minutes. You will receive an email notification as soon as your report is ready.
Yes. We support both public and private repositories. For private repos, we use a read-only GitHub token that you provide — we never store your code.
Our estimates are based on a severity-weighted rubric combining cyclomatic complexity, security impact, and maintainability scores. They are designed to be defensible and conservative — better to slightly overestimate than underdeliver.
No. We clone your repository temporarily for analysis and delete it immediately after the report is generated. Only the report metadata is stored.
I have been a software engineer for over a decade. I have inherited codebases that looked fine on the surface but hid months of cleanup work underneath. I have quoted projects based on a quick glance at the repo, only to discover structural issues halfway through that blew the budget.
Codebase Health Report exists because I needed this tool and it did not exist. Every agency owner, every CTO inheriting a new team, every freelancer taking on a client project deserves to know what they are walking into before they commit.
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