AI changed how code gets written. Cursor, Copilot, and ChatGPT let a single founder ship what used to take a team. Velocity went through the roof — but nobody changed how code gets reviewed.
This blog is where we’ll post what we find when we point inkode at real codebases: open-source projects, post-mortems of failures, and the patterns that keep showing up across AI-built repos.
What to expect
- Case study deep-dives. We scan a popular open-source project, publish the findings, and walk through what the numbers actually mean.
- Field notes. Patterns we see repeatedly in the codebases we review — what’s fixable in an afternoon, what needs a rewrite.
- Release notes and tooling posts. New checks, CLI improvements, and behind-the-scenes of how the scanner works.
If you want to know what’s hiding in your own codebase, install the CLI and run a scan. Takes about a minute and no account is required.