Atlarix
Freemium
Engineering teams needing private/local AI coding assistance
AI-generated code passes the linter, passes the skim, and then quietly rots — because slop isn't a syntax error, it's a judgment call your static analysis tools are never going to make.
stupify runs PR reviews against a corpus of code you actually respect — your own best files, or commit-pinned exemplar packs from coders like dtolnay, DHH, or Rich Harris — and names what's wrong in terms of concrete primitives, not style opinions. It runs on your own Codex plan, so there are no additional API keys or servers to manage. The rubric keeps findings small and actionable: a named helper that got dissolved into its call sites, a hand-rolled state machine where a library call already exists, a duplicated data source already drifting from its canonical version. Once findings are addressed, it posts one line and stops. What it cannot do is catch slop that isn't representable in the corpus — if your taste reference doesn't cover a pattern, neither does the review.
Bottom line: Pick stupify when you have a code corpus worth enforcing and a PR workflow worth protecting; reconsider when your team has no existing reference code and no appetite to curate one.
Find your fit
More options in Coding Assistants. Compare pricing, platforms, and features side by side.
Freemium
Engineering teams needing private/local AI coding assistance
Freemium
Developers preferring fully local agent execution
Most linters operate on rules that are satisfied the moment the code compiles correctly. The judgment that a helper should not have been inlined, that three boolean flags are doing the work of a library call, or that a duplicated phrase list is already out of sync with its canonical source — none of that surfaces in a lint pass. stupify exists in that gap. The core workflow is one command: `npx @stupify/cli` primes Claude Code or opens a PR for review, and the tool works through the diff against a corpus of code you designate as the standard. Each finding names the slop and names the primitive to use instead.
The differentiating mechanism is the corpus. Instead of encoding taste as abstract rules, stupify grounds every finding in actual code — your own best files, or curated ‘taste packs’ of commit-pinned exemplar files from coders like antirez, Sindre Sorhus, Mitchell Hashimoto, and others listed on the project site. A rubric sits on top of the corpus to define what counts as slop and to keep fixes scoped. The vendor states that because reviews run on your own Codex plan, a careful review costs a fraction of a raw API call.
stupify fits teams with an existing code culture they want to enforce — maintainers who have a clear sense of what their codebase should look like and contributors submitting AI-assisted PRs that technically pass review but carry the texture of generated filler. It does not fit teams that have no reference corpus and no one willing to build one: the taste packs help, but a borrowed rubric from a coder you have never read is a shaky foundation for blocking contributions. The tool is MIT licensed, self-hostable, and requires no separate server infrastructure — all compute runs through the user’s own Codex plan.
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