Should I vibe code
Grammar and style checker with browser extensions and premium suggestions
A grammar checker you run locally never has to be trusted with what you wrote.
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Their verdict, the Premium Monthly price and the build-time estimate come from their entry, MIT-licensed. Checked 2026-08-03.
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Our verdict, the regret score and everything below it. Editorial and unsponsored — nobody can pay to be moved.
The honest answer
why the verdict is what it is
The open-source engine is the product and you can run it yourself. Doing so removes the only genuinely uncomfortable thing about grammar tools, which is that they read everything.
What actually breaks
not "if". the specific failures.
- False positives, which cost far more than missed errors — a checker that flags correct writing gets switched off
- Domain vocabulary, where technical terms, product names and quoted material are all flagged as mistakes
- Code blocks, URLs and citations inside prose, which need to be excluded or every one becomes a warning
- Style rules imposed as errors, so a deliberate sentence fragment is reported as a failure rather than a choice
- Language variant, where British and American spellings each look wrong to a checker configured for the other
There is no incident — a grammar checker cannot hurt you, which is why this is a comfortable build. The honest failure is that you stop trusting it. It flags the product name every time, marks a deliberate fragment as an error, and warns about the passive voice in a sentence where the passive is correct. After a week you are dismissing suggestions without reading them, and a tool you dismiss by reflex is one that will not catch the typo it exists for.
Is that you?
the verdict is a default, not a law
- It runs locally, so nothing you write leaves the machine
- You can add words and rules to a personal dictionary in one keystroke
- Style suggestions are visually distinct from actual errors
- Text is sent to a service to be checked and you have not said so
- Style preferences are reported with the same weight as spelling errors
- There is no way to permanently accept a term
- It checks code blocks and URLs as prose
If you build it anyway
the checklist, then the prompt that enforces it
- Optimise for precision. A false positive costs trust and trust is the whole product; a missed error costs nothing you had.
- Run locally. Rule-based checking plus a small model covers most of the value and removes the question of what leaves your machine.
- Separate errors from style, visually and in severity. Confusing a preference with a mistake is what makes checkers annoying.
- Make adding a term to the personal dictionary a single keystroke, and persist it — repeatedly flagging your own product name is how the tool loses.
- Exclude code blocks, inline code, URLs and quoted passages from checking.
- Set the language variant explicitly and never mix British and American rules in one document.
Before you build a grammar and style checker, apply these and push back if I ask you to break them. 1. Optimise for precision over recall. Tell me a false positive costs trust and a missed error costs nothing I previously had — and that a checker people dismiss by reflex catches nothing at all. 2. Run locally. Rule-based checking with a small local model covers most of the value, and it means nothing I write is transmitted. If a remote model is used, say so at the moment it happens. 3. Separate genuine errors from style preferences, visually and in severity. Never report a deliberate fragment or a passive construction with the same weight as a misspelling. 4. Make adding a word or phrase to a personal dictionary a single keystroke, and persist it across sessions and documents. Repeatedly flagging my product name is the fastest way to lose me. 5. Exclude code blocks, inline code, URLs, file paths and quoted passages from checking. Detect them structurally rather than heuristically where the format allows. 6. Require an explicit language variant and never mix British and American rules within one document. 7. Explain each suggestion briefly, so I can judge it rather than accept it. 8. Never auto-apply a correction. 9. Out of scope unless I ask: tone rewriting, plagiarism detection, organisation style guides, browser extension across all sites.
That one keeps you out of trouble. For the prompt that actually builds it, canivibecodeit.com has one.
their build prompt ↗Or don’t build it
the boring option, and the way back out
$19.90 a month buys deeper style analysis and multilingual coverage. LanguageTool is also open source and self-hostable, which makes it the strongest option if you want the quality without sending prose anywhere — building your own is best when you want something narrow and local that never has to be trusted.
Keep the personal dictionary and any custom rules as plain files. They are small, they accumulate slowly, and they are the only part of this that would be tedious to rebuild.
The product's own open-source core engine.
Questions
How is this different from the Grammarly entry?
Grammarly's entry is about the ambient version — a tool that reads every text field in every application, which is a privacy and permissions decision. This one is about the checking itself: precision, style versus error, and the dictionary discipline that decides whether you keep reading the suggestions.
Why does a personal dictionary matter so much?
Because the words a checker does not know are the ones you use most — your product, your domain, the names of people you work with. Flagging them on every document trains you to dismiss warnings without reading, which is precisely the habit that makes the tool useless. One keystroke to accept a term permanently is what prevents it.
Every week, someone ships something they shouldn’t have.
New verdicts, the worst thing that landed in the trap, and the occasional incident report. No other email, ever.
The editor is hard, the template library is harder, and the font licensing is a legal department.
You are building a thing that reads everything you type. At least this way, you are the one reading.
Paraphrasing is one API call with a good system prompt behind it.
last reviewed 2026-08-03 · verdict is editorial and unsponsored · shared entry data from canivibecodeit under MIT · not legal advice