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Will Grammarly AI Detector catch AI code comments?

Will Grammarly AI Detector catch AI code comments? We break down Grammarly AI Detector's approach (assistant-origin cues inside the writing suite), how…

Updated · AI detection questions

Key takeaways

  • Grammarly AI Detector: assistant-origin cues inside the writing suite.
  • AI Code Comments is generated documentation inside programming submissions.
  • Reality check: convenient but conservative; built into an editor millions already use.
  • Scores are probabilistic — texture, specificity, and policy decide outcomes, not luck.

"Will Grammarly AI Detector catch AI code comments?" gets asked thousands of times a month, and most answers are either vendor marketing or panic. Here's the grounded version: how Grammarly AI Detector actually works, what AI code comments looks like to it, and what — if anything — you should change.

Context on the subject: convenient but conservative; built into an editor millions already use. Keep that in mind as the baseline for everything below — it's the difference between a useful answer and a scary one.

How Grammarly AI Detector processes AI code comments

Grammarly AI Detector works via assistant-origin cues inside the writing suite. AI Code Comments — generated documentation inside programming submissions — is judged on that layer alone: sentence rhythm, predictability, and structural pattern. Ideas, truth, and effort are invisible to it.

For everyday writers, the practical takeaway: AI code comments triggers attention when its statistical texture looks generated. Generated Documentation Inside Programming Submissions — which is why some cases sail through and near-identical ones get flagged.

What actually changes the outcome

Three levers: varied sentence rhythm (the layer assistant-origin cues inside the… measures), concrete specifics no model invents, and compliance with whatever policy governs the AI code comments. A Neonhumanizer pass automates the first; you own the other two.

If your AI code comments needs to read human, work the texture: run a meaning-safe humanizing pass, then re-read for the one detail per paragraph only you could know. That combination beats every synonym-swap trick, because it changes what Grammarly AI Detector measures instead of decorating it.

False positives, policy, and the honest frame

Fully human writing gets flagged too — formal register mimics machine texture. And where a policy governs the AI code comments, the policy outranks any score in both directions. Keep drafting evidence; it settles disputes faster than rescans.

convenient but conservative; built into an editor millions already use — which is why serious reviewers use Grammarly AI Detector as a screening signal, not proof. Your strongest position is demonstrable process: version history, notes, and drafts that show the work.

If your AI code comments faces Grammarly AI Detector — do this

  • ☑Confirm the policy that governs the AI code comments — it outranks every score.
  • ☑Run a meaning-safe Neonhumanizer pass to reset cadence.
  • ☑Re-add one concrete, personal specific per paragraph.
  • ☑Rescan with Grammarly AI Detector and fix only the flattest paragraphs.
  • ☑Archive drafting history as your evidence layer.

Will Grammarly AI Detector catch AI code comments? — at a glance

Question factor

Grammarly AI Detector's mechanism

Answer

assistant-origin cues inside the writing suite

Question factor

What AI code comments is

Answer

generated documentation inside programming submissions

Question factor

Reality check

Answer

convenient but conservative; built into an editor millions already use

Question factor

What changes outcomes

Answer

Rhythm variance + concrete specifics + policy compliance

Question factor

Guaranteed result?

Answer

No — probabilistic scores, retrained models, human reviewers

Frequently asked questions

Who actually uses Grammarly AI Detector?

Everyday Writers. Knowing your reviewer matters more than knowing the tool — the score starts a conversation; it doesn't end one.

Will Grammarly AI Detector catch AI code comments?

Sometimes — Grammarly AI Detector scores texture via assistant-origin cues inside the writing suite, and outcomes depend on rhythm variance in the AI code comments. convenient but conservative; built into an editor millions already use.

How reliable is Grammarly AI Detector on AI code comments?

No detector publishes guaranteed accuracy, and generated documentation inside programming submissions sits in a gray zone. Treat any score as probabilistic evidence — that's how everyday writers increasingly treat it too.

Should I stop using AI for AI code comments?

That's a policy question, not a detector question. Where AI assistance is permitted, a humanize-verify workflow is legitimate; where banned, the ban is the answer.

Can humanized text change what Grammarly AI Detector sees?

Yes — humanizing rewrites the cadence layer (assistant-origin cues inside the writing suite), which is precisely what gets measured. Meaning stays; texture changes; scores typically drop.

Facts worth citing

  • “AI detectors output likelihood, not proof — false positives on human writing are documented across every major tool.”
  • “convenient but conservative; built into an editor millions already use.”
  • “AI Code Comments: generated documentation inside programming submissions.”
  • “Grammarly AI Detector method: assistant-origin cues inside the writing suite.”

The general answer is above; your answer takes five minutes — one free humanizing pass on an actual AI code comments, then compare.

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