Code Quality
AI QA Agent
Runs structured test plans against your application and reports defects with evidence.
Code Quality
AI Code Review Agent for GitHub
Every pull request in your GitHub repository gets reviewed against your standards, with inline comments and a check result.
On GitHub, pull requests pile up while reviewers are busy, and review quality depends on who picks them up. This agent reviews every pull request in your repository for bugs, security issues and your own coding standards, then posts inline comments and a check result. It runs through a GitHub App with scoped permissions, and every merge decision stays with your engineers.
- Inline comments and a check result on every GitHub pull request
- Reviews against your written standards, not generic rules
- GitHub App with scoped permissions, and merges stay with you
$4,400
20–30 working days
Optional maintenance $249/mo
What it is
AI Code Review Agent for GitHub reviews pull requests in one GitHub repository for bugs, security issues and your own coding standards, posting inline comments and a check result for a person to act on. It connects through a GitHub App with scoped repository permissions. It never merges code.
Why businesses buy it
Waiting pull requests slow every release, and rushed reviews let security issues and standards drift through. Senior engineers end up repeating the same comments. This agent gives every GitHub pull request a consistent first review in minutes, posted where your team already works, so human reviewers spend their time on design and logic. A check result makes the findings visible before anyone clicks merge. The Scope Card fixes the repository, mapping, connected systems and trial on real pull requests before you order, so engineering can approve it with confidence.
Problems this solves
Pull requests sit in the GitHub queue waiting for a first look
A GitHub App reviews each pull request in the connected repository and posts inline comments. Developers get early feedback while the change is still fresh in their mind.
Reviewers can't tell at a glance which changes need extra care
Alongside its comments, the agent posts a check result on the pull request. Your team sees its verdict next to the other checks, and a person still decides what merges.
Giving a new tool broad GitHub access feels risky
The GitHub App runs with scoped permissions on the one repository in scope. Access is set up through keys you control, and the field mapping documents what it reads and writes.
Review findings get lost once a pull request closes
One more system, such as your tracker or team chat, can be connected. Findings that need follow-up can then be picked up where your team already plans its work.
A good fit if
Your team works in GitHub and pull requests wait days for a first review.
You can install a GitHub App on one repository with only the permissions agreed.
You have coding standards, even informal ones, for one main language or stack.
You want findings visible on the pull request and its checks, where developers already look.
Not the right fit if
Your code lives in GitLab. See AI Code Review Agent for GitLab.
You want failed pipelines diagnosed and fixes proposed rather than pull requests reviewed. See AI DevOps Agent for GitHub.
You want test plans run against your application with defect evidence. See AI QA Agent for GitHub.
You need several repositories or more than one stack reviewed. Add a note at checkout for a Change Quote.
How it works
- Your GitHub admin installs a GitHub App on the agreed repository with scoped permissions, on a 30-minute call.
- Each new or updated pull request is read against your coding standards for the one language or stack in scope.
- Bugs, security issues and standards breaches are posted as inline review comments on the exact lines.
- A summary is reported as a check on the pull request, so reviewers see the outcome next to your CI results.
- Findings worth tracking can be opened as GitHub issues, or sent to the one other system, such as Slack.
- It never merges or approves. Before launch it is trialled on 20 of your real pull requests.
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 installation on the repository, with the agreed scoped permissions.
- A GitHub admin for a 30-minute setup call.
- Your CI/CD configuration details.
- Your coding standards or runbooks for the stack in scope.
- Access to the one other system, such as Slack or your tracker, if findings should go there.
- One decision-maker who approves the review rules.
- 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; repository, stack and standards confirmed.
Weeks 1–2
Review rules built from your standards.
Week 3
GitHub App connected; comments and check results tested.
Weeks 3–4
Trial on 20 real pull requests, findings reviewed together.
Week 4
Your review and two rounds of changes.
Go-live
Live on the repository; 45-minute handoff recorded.
| 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
- A GitHub App reviewing pull requests in one repository, with inline comments and a check result
- Your coding standards loaded into the review configuration
- GitHub connection plus one more system, with a documented field mapping
- Access set up through keys you control (no keys sent by email)
- Test report from a trial on 20 pull requests, plus admin guide and recorded handoff
- 30 days of post-launch support
Expected benefits and how to measure them
- Can give every pull request a consistent first review, even on busy weeks.
- Helps reviewers spend their attention on the changes that need it most.
- Time to first review
- Compare the time from opening to first comment in GitHub's pull request timeline, a month before and after launch.
- Changes requested by humans
- Count 'changes requested' reviews per pull request before launch and after, to see whether fewer basic issues reach people.
- Bug issues after merge
- Count GitHub issues labeled as bugs that trace back to recent merges, month by month.
Before you start: Export a month of pull request data from the repository: time to first review, review rounds and linked bug issues.
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 in your own accounts for AI usage and CI minutes, moving with the number of pull requests opened.
GitHub licenses and plan upgrades are outside the build. AI usage during build and trial is billed to your accounts.
Ask about running costsCustom requirements
A second repository, another language or stack, or custom GitHub objects outside the agreed mapping need a written Change Quote. Add a note at checkout to receive it.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes, model and platform updates, a monthly health report and monthly hours for changes, such as updated standards or a new rule after an incident. It 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 | A review bot charges per developer seat | A contract reviewer bills hourly | Ours is one fixed price, shown before you buy |
| Rules | Default rule sets | The reviewer's own habits | Ours checks against your written standards |
| Where findings show | Often its own dashboard | A separate report | Ours posts inline comments and a GitHub check |
| Delivery | Install today, tune for weeks | Weeks to ramp up | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
What GitHub permissions does the review app need?
Only the repository permissions agreed in the field mapping, covering pull requests, issues and checks on the one repository in scope. Your admin installs the GitHub App and we confirm the permissions on a 30-minute call. It is not given merge or admin rights, and uninstalling the app removes access.
Does it show up as a GitHub check on pull requests?
Yes. Checks are part of the two-way mapping, so the review can report a summary as a check alongside your CI results, as well as inline comments on the changed lines. Whether that check is required before merging is a setting your team controls in GitHub.
Can code review findings become GitHub issues?
Yes. Issues are in the mapping, so findings you want tracked, for example a security issue that will not be fixed in the current pull request, can be opened as GitHub issues. That leaves the one extra connected system free for Slack or another tool, if you want one.
Which languages can the GitHub review agent check?
One language or stack per build, chosen at intake, usually the main language of the repository. Reviews follow your standards for that stack. A second language in the same repository is priced as a Change Quote, so its rules are built and trialled properly rather than bolted on.
What does GitHub code review cost to run each month?
Roughly $20 to $200 a month in your own accounts for AI usage and CI minutes, depending on how many pull requests are opened. GitHub licenses are unchanged. There is no per-seat fee from us, and the build itself is paid once, with optional monthly maintenance.
How long before it reviews our GitHub pull requests?
Delivery runs on a fixed schedule from a verified intake, and the delivery panel shows that date plus express and rush options before you buy. Installing the GitHub App and sending your coding standards within 72 hours of ordering keeps the chosen date, because the review rules are built from them.
A first review on every GitHub pull request.
Order AI Code Review Agent for GitHub and pull requests in your repository are reviewed against your standards, with inline comments and a check, on a fixed delivery date.
Works well with
Code Quality
AI Dependency Update Agent
Proposes and tests dependency upgrades as reviewable pull requests.