GitHub App · fail-closed · self-learning

The self-learning, fail-closed AI code reviewer for teams that cannot afford inconsistent senior review.

ReviewPilot AI reviews every pull request against your shared rule set, learns from senior feedback, and never silently approves. Built for engineering teams shipping 20+ PRs a day who need consistent, auditable first-pass review.

Install GitHub App See pricing

For teams of 5–50 devs shipping 20+ PRs/day. Never silently approves. Never auto-merges.

What you get on every pull request

A consistent first pass — style, complexity, security, and maintainability — against a versioned rule set.

✓

Reviews every PR against a versioned rule set (naming, format, complexity, security)

✓

Diff-scoped LLM semantic pass — only comments on changed lines, low noise

✓

Learns from senior overrides; tracks precision weekly

✓

Fail-closed: never silently approves, never auto-merges

✓

Priority labels (P0–P3) and a single summarized review per PR

✓

Shared rule sets across repos; team dashboard with trends

How it works

From install to smarter reviews in four steps.

1
Install the GitHub App

Grant access to the repos you want reviewed. No CI changes required.

2
Open a PR

ReviewPilot fetches the diff, runs static + LLM passes scoped to changed lines, and posts one summarized review with inline comments.

3
Senior reviewers override

Dismiss, edit, or re-rank a comment. Each override is recorded (diff-scoped, anonymized).

4
The agent learns

Precision is tracked weekly; repeated false positives fade and real patterns surface sooner.

What is ReviewPilot AI?

ReviewPilot AI is a GitHub App that runs the first review pass on every pull request — style, complexity, security, and maintainability — against a versioned rule set, then learns from your senior reviewers’ overrides to get sharper over time.

It is the first review pass, not the sole approver. Your required reviewers stay the gate. If the AI is unavailable, the PR is flagged for human review — it never returns a silent “looks good”.

Common mistakes ReviewPilot catches

A sample of the patterns in the shared rule set (review-rules.yml).

P0 · Security

SQL built by string interpolation, eval() on untrusted input, innerHTML with user data, hardcoded secrets (via Gitleaks).

P1 · Complexity

Functions over 100 lines or cyclomatic complexity above 15; nesting deeper than 4; swallowed exceptions.

P2 · Maintainability

any where a real type exists, missing docstrings on public APIs, PRs that change behavior with no test.

P3 · Style

Trailing whitespace, console.log left in, non-intention-revealing names like tmp/foo.

ReviewPilot AI vs doing review manually

DimensionReviewPilot AIManual review
First-pass coverageEvery PR, every file in the diffDepends on who is available
ConsistencySame versioned rule set every runVaries by reviewer
LearningImproves from your overridesNo institutional memory
Audit trailEvery decision + override loggedScattered in comments
Cost at 20 PRs/dayFlat per-seatSenior time is the bottleneck

When not to use it: Keep humans on the critical path for security-sensitive changes and architecture decisions. ReviewPilot is the first pass, not the sole approver — it is fail-closed and never auto-merges.

Pricing

Per seat. Annual billing saves ~2 months. Cancel anytime.

Starter
$19/mo
 
50 PRs/seat/mo · diff-scoped review · priority labels
Enterprise
Custom
 
SSO · BYOK · no-training policy · higher caps · DPA

FAQ

What is ReviewPilot AI?
A GitHub App that performs the first review pass on every pull request against a versioned rule set, then learns from senior reviewers’ overrides. It is fail-closed: if the AI is unavailable, the PR is flagged for human review rather than silently approved.
How does AI code review work?
On each PR, ReviewPilot fetches the diff, runs static checks (naming, formatting, complexity, security via Semgrep/Gitleaks), then an LLM semantic pass scoped to the changed lines, and posts a single summarized review with inline comments and a priority label.
Does ReviewPilot auto-merge?
No. It never merges and never approves. It posts findings; your team’s required reviewers remain the gate. This is by design — fail-closed, auditable.
How does the self-learning work?
When a senior reviewer overrides, dismisses, or edits a comment, ReviewPilot records the feedback (anonymized, diff-scoped) and calibrates future suggestions. Precision is tracked weekly; rules that drift are flagged for review.
Which languages and repos?
Any repo the GitHub App is installed on. Rule sets are language-aware where static analysis applies (JS/TS/Python/Go/Java and more via Semgrep registry); the LLM pass is language-agnostic on the diff.
Is my source code sent to a model?
Only the diff (changed lines) is sent to the review model under your control; full-repo scans use local static analyzers. Enterprise plans support BYOK and no-training policies. Details are on the Privacy page.
How much does it cost?
Starter is $19/seat/month (billed annually $190/seat — save ~2 months). Team is $49/seat/month with shared rule sets and learning. Enterprise is custom with SSO, BYOK, and higher caps.
Who is it for?
Engineering teams of 5–50 developers and platform/DevEx buyers who ship many PRs daily and cannot afford inconsistent or slow senior review.