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Autter scans every opened pull request and leaves inline review comments directly in your PR interface — the same place your team already works. No separate tool, no dashboard to check. Feedback arrives within seconds of opening a PR.

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How it works

When you open a pull request, Autter:
1

Scans the diff

Autter reads the full diff and evaluates every change in the context of your existing codebase — not just the lines changed.
2

Identifies issues

Autter flags bugs, logic errors, convention violations, security risks, and performance anti-patterns with a confidence level for each finding.
3

Leaves inline comments

Each finding becomes an inline PR comment that includes what was detected, why it matters, and how to fix it — with a code suggestion you can apply in one click.
4

Learns from your feedback

You can thumb up or thumb down any comment. Autter uses this signal to improve review quality over time for your specific codebase.

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Example: catching a logic bug

Here’s what an Autter inline comment looks like in practice. The diff introduces a bug in duration calculation: 
  const rebaseResult = await gitClient.rebaseUnmergedRange({
    headBranch: pr.headBranch,
    trunkBranch: newMergeBase,
  });

+ const durationMs = startTime
+   .diff(DateTime.now())
+   .as("milliseconds");
Autter’s inline comment on this diff:
Autter — just now The calculation of durationMs is incorrect. It’s currently calculating the duration from the current time to the start time, which will result in a negative duration. To fix this, swap the order of the arguments in the diff() method: DateTime.now().diff(startTime)
This is the kind of bug that compiles, passes type checking, and only surfaces at runtime — often in production.

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Inline comment structure

Every Autter comment includes four parts, drawn from the use-case source:
  1. What was detected — a clear description of the issue
  2. Why it matters — the specific risk or convention being violated
  3. How to fix it — a concrete suggestion, often with a code snippet
  4. Confidence level — how certain Autter is that this is a genuine issue
For critical issues — security vulnerabilities, data integrity risks, breaking API changes — Autter can block the merge entirely until the issue is resolved. For lower-severity findings, it adds informational comments and lets your team decide.

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Three things that make feedback useful

Instant feedback

Autter automatically scans opened PRs for bugs, logical errors, and other technical pitfalls so reviewers can focus on the big picture.

Codebase awareness

Every piece of feedback makes sense in the context of your codebase — not generic suggestions from a template.

Custom rules

Define and enforce custom patterns with AI prompts and regex. Your standards, consistently applied across every review.

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Full feature set

AI-powered chat

Ask questions about your codebase, get explanations for complex logic, and receive suggestions inline.

Deep context

Every suggestion is grounded in your codebase’s architecture, patterns, and conventions.

Configurable rules

Define custom patterns and rules that the AI enforces across all reviews automatically.

Security scanning

Catch vulnerabilities, injection risks, and insecure patterns before they reach production.

Lightning fast

Get feedback in seconds, not minutes. Autter is optimized for speed without sacrificing quality.

AI-suggested fixes

Not just problems — Autter suggests concrete fixes you can apply with one click.
Use the thumbs up / thumbs down buttons on any Autter comment to improve review quality. Your feedback trains Autter to surface more of what your team cares about and less of what it doesn’t.