Is there a guaranteed way to avoid Grammarly AI Detector flags?

No honest one. Detectors retrain constantly. The durable approach: varied rhythm, real specifics, policy compliance — the things human writing has naturally.

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.

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.

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.

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.

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

Grammarly AI Detector can flag AI code comments, but with real limits: its method (assistant-origin cues inside the writing suite) measures style statistics, and generated documentation inside programming submissions sits squarely inside that training distribution. convenient but conservative; built into an editor millions already use.

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Q&A · Grammarly AI Detector · AI code comments

Can Grammarly AI Detector detect AI code comments?

Updated August 21, 2026 · 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.

Short questions deserve straight answers. This page answers "can grammarly ai detector detect ai code comments?" using what's publicly documented about Grammarly AI Detector (assistant-origin cues inside the writing suite) and what AI code comments actually is: generated documentation inside programming submissions.

One caveat that applies to every detector question: results are probabilistic. The same AI code comments can score differently between scans or model updates. Treat every number as evidence, never a verdict — that's also how sensible reviewers treat it.

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.

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.

The mechanism matters because it defines the fix. If Grammarly AI Detector flagged meaning, nothing could help; because it scores texture (assistant-origin cues inside the writing suite), changing texture changes outcomes. That's the entire logic of humanizing — and its honest limit.

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.

What doesn't work: light rewording (keeps sentence skeletons intact), padding length (2026 benchmarks explicitly penalize it), and prompt tricks (the output still carries model cadence). The signal is structural, so only structural rewriting moves 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.

Facts worth citing

Primary Grammarly AI Detector audience: everyday writers.

AI Code Comments: generated documentation inside programming submissions.

Texture (sentence rhythm and predictability) decides scores; meaning-level edits alone rarely change them.

convenient but conservative; built into an editor millions already use.

Can Grammarly AI Detector detect AI code comments? — at a glance

Question factor	Answer
Grammarly AI Detector's mechanism	assistant-origin cues inside the writing suite
What AI code comments is	generated documentation inside programming submissions
Reality check	convenient but conservative; built into an editor millions already use
What changes outcomes	Rhythm variance + concrete specifics + policy compliance
Guaranteed result?	No — probabilistic scores, retrained models, human reviewers

Frequently asked questions

1. Is there a guaranteed way to avoid Grammarly AI Detector flags?
No honest one. Detectors retrain constantly. The durable approach: varied rhythm, real specifics, policy compliance — the things human writing has naturally.
2. 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.
3. 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.
4. 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.
5. 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.

Test it yourself: humanize a real AI code comments sample free on Neonhumanizer, rescan with Grammarly AI Detector, and let the before/after answer the question for your case.

Open the free humanizer