Build Faster. Ship Safer. Enjoy your Vacation.
Autter reviews code, tests product impact, checks security, governs releases, and closes the loop from production failure to verified fix.
over 1,455 developers are running on Autter
- Changes verified2,742
- Test runs executed127,183
- Bugs caught947
- Security checks run19,485
- PRs signed off2,058
- Regressions blocked412
As a seed-stage SaaS team, every engineer wears a few hats. Autter handles the checks that used to slow us down, so we spend less time reviewing and rechecking changes and more time shipping. We move faster without making every release another late-night scramble.
One hire, every task.
The entire assurance layer, hired in one click
Test execution, regression checks, security review, release sign-off. Every duty of the assurance layer, handled on every pull request before merge, not after deploy.
Welcome back, Demo User.
Here's what's happening in Acme Inc today.
Happening now
How Autter works
Autter reviews every pull request with your repo's context, attributes AI-authored lines through the CLI, and ties production errors back to the change that caused them — so review, authorship, and runtime stay one loop.
- 1ReviewPR reviews grounded in your codebase, learnings, and risk.
- 2AttributeLine-level AI authorship from the agents you already use.
- 3ObserveRuntime incidents linked to deploys, commits, and fixes.
Install CLI
Track AI-authored lines on your machine. One install per developer machine — Cursor, Claude Code, and friends light up automatically.
Runtime
Reliability
Error events over time, with deployment markers.
Dashed lines mark deployments — spikes that start at a line usually belong to that release.
Your work
You've been working on
- 12 commits2h ago
- 5 commits1d ago
17 commits · +2,314 −876 lines in the last 2 weeks
Your stacks
- TypeScript58%
- Python26%
- Go16%
Your AI coding
38.4% of your shipped code was AI-assisted
You kept 81.2% of AI-written lines
Top tool: claude-code · claude-fable-5
23 tracked commits · last 30 days
Repositories4
BoardListAdd repoActivity4
Development activity
PR Volume
Pull requests over time by team · last 30 days
Top Active Repos
Ranked by PR count · last 30 days
AI provenance
Acceptance by tool
Share of each tool's written lines that survived human review.
| Tool | Acceptance | Written | Accepted |
|---|---|---|---|
| Cursor | 85% | 18,420 | 15,708 |
| Codex | 89% | 11,280 | 10,039 |
| GitHub Copilot | 78% | 6,340 | 4,945 |
Acceptance by model
Share of each model's written lines that survived human review.
| Model | Acceptance | Written | Accepted |
|---|---|---|---|
| claude-sonnet-4.5 | 85% | 18,420 | 15,708 |
| gpt-5.2-codex | 89% | 11,280 | 10,039 |
| gpt-4.1 | 78% | 6,340 | 4,945 |
AI authorship over time
Weekly AI vs human lines added.
Sample data, real product. Open the full live demo →
Everything in one workspace
Repos, PRs, docs, issues, Sentry, PostHog, Grafana, CI, and deployments flow into Autter, which maps code, APIs, schema, routes, owners, hotspots, and blast radius into product memory.
Explore IntegrationsFrom the codebase, PRs, and your existing guidelines, Autter generates documentation, changelogs, and release notes, and keeps every page current on each merge.
Explore Pipeline AutomationSignup, checkout, uploads, and webhooks become end-to-end missions, probed with malformed inputs and boundary cases. Unit, API, and integration tests fill the coverage gaps, and flaky tests get re-forged.
Explore Pipeline AutomationEvery pull request executes in an isolated sandbox against your base branch. Dependencies are vetted against real registries, secrets and CVEs are caught at the gate, and every change is classified human or AI.
Explore Code ReviewEvery production error is pinned to the code that caused it, with the why, the where, and the owner. Confirmed failures become fix PRs, re-run in the sandbox and verified before they ship.
Explore AnalyticsQuality trends, hotspots, flaky rate, cycle time, and coverage roll into one release-readiness verdict. Every repo, every PR, every release. Your assurance layer never clocks out.
Explore AnalyticsRepos, PRs, docs, issues, Sentry, PostHog, Grafana, CI, and deployments flow into Autter, which maps code, APIs, schema, routes, owners, hotspots, and blast radius into product memory.
Explore IntegrationsFrom the codebase, PRs, and your existing guidelines, Autter generates documentation, changelogs, and release notes, and keeps every page current on each merge.
Explore Pipeline AutomationSignup, checkout, uploads, and webhooks become end-to-end missions, probed with malformed inputs and boundary cases. Unit, API, and integration tests fill the coverage gaps, and flaky tests get re-forged.
Explore Pipeline AutomationEvery pull request executes in an isolated sandbox against your base branch. Dependencies are vetted against real registries, secrets and CVEs are caught at the gate, and every change is classified human or AI.
Explore Code ReviewEvery production error is pinned to the code that caused it, with the why, the where, and the owner. Confirmed failures become fix PRs, re-run in the sandbox and verified before they ship.
Explore AnalyticsQuality trends, hotspots, flaky rate, cycle time, and coverage roll into one release-readiness verdict. Every repo, every PR, every release. Your assurance layer never clocks out.
Explore AnalyticsAutter executes every human and AI change across every pull request—so clean code merges with confidence and risky code never ships.
Built for teams that ship
Autter works seamlessly with the tools and workflows you already use
Where impact is made
Teams using Autter deliver higher-quality code through focused changes and accelerated review workflows.
Seamlessly integrated with GitHub
Native GitHub integration keeps your entire team aligned and in sync at every step.
Powered by Git at its core
Autter works alongside your existing git commands, shortcuts, and development practices.
Integrate with your favorite tools.
Your code, tickets, CI, and production signals. Connected in one review context, from the first change to the next release.
Your code. Your control.
Built to review your code. Designed to protect it.
Clear boundaries, from access to the final verdict.
Isolated from start to finish.
Your code runs in an isolated sandbox, encrypted in transit and at rest. When the review finishes, the sandbox and its source are destroyed.
Your code never trains a model.
Your source is used to review your change. Never to train our models or anyone else's.
Access stays in your hands.
The GitHub App uses scoped permissions. Tokens are scoped and revocable, so you can withdraw access whenever you need to.
Clear about what we keep.
Findings, verdicts, repository structure, and audit logs stay available to your team. Source from the sandbox is destroyed after the review.
Built for enterprise.
Deployed inside your network.
Private cloud, on-premises, or an air-gapped environment. Let’s fit the deployment to your security requirements.
Available on the Enterprise plan.
- Keep your source inside your network.
- Deploy the review plane into your own cloud account or data center. Your source stays within your network boundary.
- Your keys, your logs, your updates.
- Keep control of access and audit records. Updates arrive as versioned releases for your team to approve.
- Plan for a disconnected environment.
- For air-gapped deployments, scope model hosting, package sources, and offline updates with our team before deployment.
Fair questions, straight answers.
The things engineering leads ask us before they hand Autter a repository.
Something else on your mind? hello@autter.dev
How is Autter different from AI review bots and linters?
Review bots read the diff and leave comments. Autter executes the change: every pull request is cloned into an isolated sandbox, the suite runs against the base branch, dependencies are vetted against real registries, and the merge stays blocked until the checklist clears. The verdict comes from behavior, not pattern matching.
Does Autter replace my CI?
No. CI runs the jobs you wrote. Autter sits on top of it as the merge gate: it reads your CI signals, writes and runs the tests you are missing, and decides whether the change is safe to merge. Your pipeline stays exactly as it is.
Will this replace our human reviewers?
No. Autter clears the repetitive, easy to miss issues so your reviewers spend their time on architecture and design decisions, not on catching a missing null check.
Which languages and stacks does it support?
If your project can build and run in a container, Autter can execute it. The GitHub integration is native, and the product memory maps your code, APIs, schema, routes, and tests regardless of stack.
Do you train on our code?
No. Your source is cloned into an ephemeral sandbox for the duration of the review and torn down after. Nothing you send us is used to train models, and nothing persists beyond the run.
How is proprietary code handled?
Every review runs in an isolated sandbox built fresh for that run. Your source is not retained once the review completes, and everything in transit and at rest is encrypted.
Is there a plan for open source projects?
Yes. Public repositories run on Autter for free, with the same sandboxed execution and merge gate as a paid plan. Connect the repo and reviews start on the next pull request.
What does Autter actually flag?
Bugs the diff did not reveal, security issues, performance regressions, and logic errors, all verified by running your code rather than pattern matching it. It also calls out style and maintainability issues the way a senior reviewer would.
Can we tune what it checks for?
Yes. Point Autter at your team's standards, exclude file patterns, and weight it toward the parts of the codebase that matter most, all through a config file you own.
How long before a review lands?
Most runs finish within seconds of the pull request opening. Autter executes alongside your CI pipeline instead of after it, so the merge gate never adds to your wait.
What happens when Autter is wrong?
Every finding ships with its receipt: the exact sandbox run, the failing case, and the trace that produced it. If a finding does not hold up, you dismiss it and Autter learns from the override. Nothing blocks your merge on a hunch.
How long does onboarding take?
Install the GitHub App and pick your repos. Autter builds its product memory from the codebase on the first pass and starts reviewing the next pull request. There is no pipeline to rewrite and no config file to maintain.
How do I get access, and what does it cost?
Connect the GitHub App and start free. Harbour includes 10 PR reviews a month on one repository; reviews pause at the cap, so it never bills overages. Paid plans include a monthly PR allowance, then charge per additional review. Pricing follows PR volume, not seats: adding developers or coding agents does not add a per-seat fee. See the plans for current prices and allowances, or book a demo for setup help.