quodeq is an AI agent for checking codebases against structural quality standards. It is described as a code quality compass, and it audits code against six ISO 25010 quality dimensions while mapping issues to CWE classifications. The site says it is not a linter.
The tool evaluates a project with read-only tools, following imports, reading files, and building context across languages and frameworks. It scores findings with the Q² formula, counts both violations and compliance, and treats good code as part of the result rather than only penalizing problems. Each finding includes the offending code, a reason, a CWE classification, and a fix plan that can be pasted into an AI agent or IDE. Compliant findings also cite the CWE that the code is correctly defending against. Results are stored as JSON on the user’s machine.
quodeq supports fully local and offline use with Ollama, and it can also connect to Claude, Codex, Gemini, or a CLI already in use. Installation is shown through pipx and Homebrew, and a macOS app is available for download. It requires Python 3.12+ and an AI provider. The project is open source under the MIT license. The page also says users can create their own quality criteria at individual, team, or company level in addition to the built-in ISO 25010 and CWE standards.
In the Code review & quality space, quodeq takes a focused approach. Manually auditing large codebases for quality, security, and maintainability issues takes weeks of senior engineer time. quodeq is an open-source project aimed at developers. quodeq is open source under the MIT license. quodeq is available on the command line and macOS.
It is developed by quodeq, and it first shipped in 2026. Development happens publicly on GitHub with 13 stars and 1.2k commits in the last 90 days. Among its 5 catalogued features are repository audit, CWE mapping, and ISO 25010 scoring.
Summary written by a language model from the project’s public pages.
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