Intelligent Change Management
The future of development
is not writing code.
It's reviewing code.
We help teams review, prioritize, understand, and guard every AI-generated change.
Start for freePrioritize
feat(mcp): reverse tunnel routing
Unified URL normalization
Hosted historical event programs
Security scan results tab
Mark findings fixed after patch merge
Understand
WALKTHROUGH · PR #482
Semantic diff · blast radius · architecture view
Continuous codebase guard
“Every PR has a location, evidence, and a fix direction — review finally keeps up with generation.”
“Routine PRs pass automatically; the team only looks at what truly needs judgment.”
Code ships faster.
Chaos ships faster.
Coding agents are flooding pipelines with giant PRs at unprecedented speed — teams have no time to verify, rank, understand, or guard them.
01 · Review
Industry-leading AI code review.
We combine deterministic prechecks with context-aware AI review. Automated review is the central verification layer before AI code reaches main.
Add teammate invitations with roles
feat/invitations → main · 10 files · +286 / −41
Role check happens after the write
The current flow may create the invite before checking whether the actor is an admin.
84− const invite = await db.invitation.create(data)85− assertAdmin(actor.role)84+ assertAdmin(actor.role)85+ const invite = await db.invitation.create(data)- Deeper context
We pull in more context than any other tool, so review truly understands your codebase.
- Closed loop with coding agents
Review results write back to the PR, driving your coding agent to iterate on fixes.
- Continuous learning
Learns automatically from how your team works and adapts to your review preferences.
- Pre-merge checks & post-merge actions
Automates your manual PR review checklist.
- Fully customizable
Everything is configurable, from coding standards to workflows and review style.
02 · Triage
Prioritize the PR flood.
PR queues are growing faster than ever. AnyReview scores, ranks, and routes every PR so value merges sooner.
Unify site URL normalization and canonical host handling
feat(mcp): add reverse tunnel routing
fix(ads): separate asset upload authorization
feat: hosted historical event programs
Auto-fix path directives (second attempt)
Document security scan results tab
fix(roles): scope user stats to session org
Add chatbot review guidelines
Mark findings fixed after patch PR merges
- Value first
Merge the changes with the biggest business impact first.
- Risk-based ordering
Routine low-risk PRs fast-track; high-risk ones get a careful look.
- The right reviewer
Automatically assign PRs to the best-fit reviewer so reviews finish faster.
- See your queue
The PR board makes the state of the whole queue obvious at a glance.
03 · Change Stack
Explainability for giant diffs.
Git platforms make thousand-line diffs hard to understand. Change Stack gets you through them in minutes.
- Built for agent code
Designed for teams deploying long-running coding agents.
- Approve with context
Understand what a change means, not just what it touches.
- Close the explainability gap
See how changes ripple across layers:
- Semantic diff
- Blast-radius context
- Architecture view
04 · Security
Security monitoring for agent code.
Drop outdated pattern-matching tools and continuously monitor every generated line with AnyReview.
- 01Least privilegeON
The GitHub App requests only Metadata, Contents, Pull Requests, and Checks permissions.
- 02No repo code executionON
Never runs scripts, builds, tests, or binaries from reviewed repositories.
- 03Minimal contextON
Ignores secrets, binaries, lockfiles, and oversized files — only review-essential context is sent.
- 04Head SHA guardON
Re-validates the version before publishing; new commits are never overwritten by stale tasks.
- AI threats need AI tools
In the LLM era, disclosed vulnerabilities are exploited in under a day.
- Beyond pattern matching
Reasons across the codebase to catch what rules miss.
- Continuous monitoring
How we monitor:
- Scheduled deep scans
- Real-time scan on every PR
- Verify, then fix
Findings are verified first to cut false positives, then shipped with a fix direction.
Shared Intelligence
Best-in-class context.
At every step of review, we pull in more context points than any other tool.
Starting from the diff, we build a deterministic map of affected nodes along imports, symbols, and test files — review reads only what is relevant.
Every acceptance, dismissal, and correction becomes a preference; the next review automatically aligns with your standards.
Requirements, historical PRs, and architecture decisions are linked in, so conclusions match business intent — not just syntax.
Candidate findings come from models; validation, dedup, locating, and the Gate are done by the system. Insufficient evidence never ships.
Hard rules provide the reliable base; LLMs handle understanding and expression, and every stage failure is traceable in the console.
More ways to tame the chaos.
The codebase intelligence that drives every review also drives triage, fixes, and planning for your team.
Review complete · Quality Gate: WARN
Summary Mergeable — address 2 verified findings first.
A queue that stays clear
Scored, ranked, routed — the PR queue at a glance.
More than pointing out problems
Every finding ships with a fix direction and regression test suggestions.
Verified before it ships
Deep scans plus real-time PR scans keep false positives low.
Team outcomes
Raise the quality bar. Lower the review burden.
Routine PRs pass automatically; teams only review what needs judgment
See capabilities →Walkthroughs of giant diffs, read in minutes
See capabilities →Every finding carries file, line, and evidence
See capabilities →Read-only minimal context is enough to review
See capabilities →
Role check happens after the write
84− const invite = await db.invitation.create(data)85− assertAdmin(actor.role)84+ assertAdmin(actor.role)85+ const invite = await db.invitation.create(data)Evidence The write call sits before the permission assert; failed requests may still leave records.