Code Quality
AI Code Review Agent
Reviews pull requests for bugs, security issues and standards and comments inline.
Operations
AI Incident Triage for GitHub
When checks fail on your main branch, a GitHub issue opens with the likely pull request linked and a first summary drafted.
When checks fail on main, the first question is always which change broke it. This edition reacts to failed checks on a protected branch or after a deploy, groups related failures, and opens one GitHub issue that links the pull request most likely to blame. It drafts a short summary and a suggested owner, and comments on that pull request so the right person sees it.
- One GitHub issue per failure, linking the likely pull request
- Drafted summary and suggested owner on every incident
- The pull request author is notified with a comment
$4,400
20–30 working days
Optional maintenance $249/mo
What it is
AI Incident Triage for GitHub reacts when checks fail on a protected branch or after a deploy, groups related failures, and opens one GitHub issue that links the pull request most likely to blame. It drafts a short summary and suggested owner, and comments on that pull request. Your team decides every fix.
Why businesses buy it
A broken main branch blocks everyone. Engineers stop to investigate, several people chase the same failure, and releases wait until someone finds the guilty change. This edition does that detective work straight away, links the likely pull request in one issue and tags a suggested owner, so the fix starts sooner and the rest of the team keeps working. The Scope Card fixes the repository, GitHub App permissions, connected systems and trial before you order, so you know exactly what it can read and write.
Problems this solves
A broken main branch leaves everyone guessing which change caused it
When checks fail on a protected branch or after a deploy, the agent opens one GitHub issue. It links the pull request most likely to blame, so the search starts in the right place.
Several failing checks produce a pile of unrelated issues
Related failures are grouped into a single issue with a short drafted summary. Your team deals with one incident in one place, rather than a scattered list of separate reports.
The author of a breaking change often finds out last
It suggests an owner and comments on the pull request it suspects. The author hears about the problem directly, and your team decides every fix.
A good fit if
Your code, pull requests and CI checks live in GitHub, and broken builds on main are your most common incident.
When something breaks after a merge, engineers lose time working out which of several recent pull requests caused it.
You track bugs and incidents as GitHub issues and want triage to land there, next to the code.
An organization owner can install a GitHub App with scoped repository permissions and join a 30-minute call.
Not the right fit if
Incidents are tracked in Jira projects. See AI Incident Triage for Jira.
Your incidents arrive as monitoring alerts in Slack. See AI Incident Triage for Slack.
You want pull requests reviewed before they merge, not failures triaged afterwards. See AI Code Review Agent for GitHub.
You want tests written and run on pull requests. See AI QA Agent for GitHub.
How it works
- An organization owner installs a GitHub App with scoped permissions on the one repository in scope, and a 30-minute call agrees branches, check names and issue labels.
- When a check fails on a protected branch, or after a deploy, the failure is read along with the checks that ran before it.
- Failures that share a cause, such as several checks broken by one merge, are grouped instead of reported one by one.
- Pull requests merged since the last passing run are compared with the failing tests and files, and the most likely one is identified.
- One GitHub issue is opened with your incident label, linking the likely pull request, a short summary and a suggested owner, and a comment is left on that pull request.
- It never reverts commits, re-runs deployments or closes issues; an engineer decides every fix.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- A GitHub App installed with scoped repository permissions by an organization owner; nothing is ever sent by email.
- Thirty minutes with that owner on branches, check names and labels.
- Your CI/CD configuration details for the repository in scope.
- Coding standards or runbooks the summaries should follow.
- Access to the one extra system, such as the chat channel to notify.
- One decision-maker for approvals.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified, GitHub App installed, branch and label scope agreed.
Weeks 1–2
Failure detection, grouping and pull request comparison built.
Week 3
Issue creation, PR comments and notifications connected.
Weeks 3–4
Trial on 20 pull requests or pipeline runs.
Week 4
Review with you and two rounds of changes.
Go-live
Live on the repository, handoff recorded, support begins.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $4,400 |
| Express | 15–25 working days | $5,150 |
| Rush | 10–20 working days | $5,950 |
What you receive at handover
- Incident triage on one GitHub repository, reacting to failed checks and deploys
- One grouped GitHub issue per incident, linking the likely pull request
- GitHub connection plus one more system, with a documented field mapping
- Access set up through keys you control
- Test report from a trial on 20 runs, admin guide and recorded handoff
- 30 days of post-launch support
Expected benefits and how to measure them
- Can help find the change behind a broken branch sooner.
- Makes it easier for the right person to pick up the fix.
- Time to identify the cause
- Compare time from a failed check to a named cause, using issue history, before and after launch.
- Broken-branch duration
- Measure how long the protected branch stays red per incident, a month before launch and after.
- Correct pull request linked
- Record how often the linked pull request turned out to be the real cause.
Before you start: Review last month's main-branch failures and note how long each took to trace and fix.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
You pay for the build once. Running it costs roughly $20 to $200 a month for AI usage and CI minutes, billed to your own accounts. Your GitHub plan stays as it is.
AI usage and CI minutes used during the trial are billed to you as well, so the GitHub App installation stays under your organization.
Ask about running costsCustom requirements
Covering more than one repository, a second language or stack, or monorepo setups with several pipelines needs a written Change Quote. Add a checkout note and it follows.
Request a custom versionKeep it running
Monthly maintenance is recommended: monitoring, fixes and monthly change hours for things such as new check names after a CI change or a different issue label. Maintenance starts after the 30 days of support.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | CI insight tools usually bill per committer each month | A DevOps contractor bills by the day | Ours is one fixed price, shown before you buy |
| Likely cause | Shows which test failed | Investigated by hand | Ours links the pull request most likely to blame |
| Where it lands | A separate dashboard | A message to the team | Ours opens a GitHub issue and comments on the PR |
| Delivery | Connect and configure | Set per engagement | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
How does GitHub incident triage pick the pull request to blame?
It compares pull requests merged since the last passing run with the failing checks, tests and changed files. The one whose changes best match the failure is linked as the likely cause, with the reasoning in the issue. An engineer confirms it; the suggestion is a starting point, not a verdict.
What GitHub permissions does the triage app need?
A GitHub App installed by an organization owner, scoped to the one repository in scope, with access to contents, pull requests, issues and checks. Nothing is shared by email, and uninstalling the app from your organization settings removes its access immediately.
Will the triage revert a bad merge automatically?
No. It opens an issue, links the likely pull request and comments on it, but it never reverts commits, re-runs deployments or merges anything. The decision to revert or fix forward stays with your engineers, who now start with the likely cause already identified.
Does it comment on the pull request that broke the build?
Yes, when one is identified. A short comment on the likely pull request links the new incident issue, so its author sees the problem straight away. If no single pull request stands out, the issue lists the candidates instead and no comment is posted.
What do all delivery options include for the GitHub incident edition?
All options include the GitHub App setup with scoped permissions, a trial on 20 pull requests or pipeline runs, two rounds of changes and the recorded handoff. Only the date changes. The delivery panel shows the standard date and the faster express and rush options, each priced, before you order.
Can it cover every repository in our GitHub organization?
Not as standard. The build covers one repository or pipeline in one language or stack. Each further repository is priced separately through an add-on or a Change Quote, because check names, branches and test layouts usually differ between repositories, and each needs its own trial runs.
Know which pull request broke main before anyone asks.
Order AI Incident Triage for GitHub and on a fixed delivery date failing checks open one GitHub issue that links the likely pull request, with a drafted summary and owner.
Works well with
