Use CodeIntegrity's AI platform to automatically analyze your codebases and incrementally plan and execute code refactoring and restructuring within your specified constraints.
CodeIntegrity uses custom static analyzers to identify business domains in your codebase and measure code health (tech debt). Our platform empowers your team to ship features faster and more cost-effectively while reducing technical debt.
Clicking on a business module displays all code quality metrics—including dead code and code smells—along with links to code repositories and task boards.
Engineers can quickly identify specific code problems, even in codebases containing millions of lines and thousands of modules.
In configuration mode, you can set specific goals for each business module.
Our algorithms identify and recommend the most suitable engineers on your team by analyzing their expertise with the required work and their availability.
Users can also add custom instructions in plain text to guide the planning process.
Using our advanced algorithms and fine-tuned LLMs, we analyze your specified constraints to automatically generate code pull requests and Jira tasks that complete the work.
When tech debt accumulates, feature development slows dramatically and costs increase as engineers work outside their expertise. Our tool acts like a precision instrument—targeting tech debt directly—enabling your team to maintain rapid feature delivery while maximizing efficiency and minimizing costs.