Code Quality
AI Code Review Agent
Reviews pull requests for bugs, security issues and standards and comments inline.
Code Quality
AI QA Agent for GitLab
Your test plan runs in GitLab pipelines, and defects are reported on the merge request with evidence attached.
In GitLab, a pipeline that only says pass or fail leaves developers guessing. This agent runs your structured test plan from merge requests or pipelines in one GitLab project, and reports each defect with evidence as a merge request comment or in your tracker. Developers see exactly what broke before merge, and it connects with a project or group access token you control.
- Test plan runs on merge requests and pipelines
- Each defect reported on the merge request with evidence
- Access token you control, with merges left to your team
$4,400
20–30 working days
Optional maintenance $249/mo
What it is
AI QA Agent for GitLab runs your structured test plan for one GitLab project, triggered by merge requests or pipelines, and reports each defect with evidence as a reviewable merge request comment or in your tracker. It connects with a project or group access token. Nothing ships without your approval.
Why businesses buy it
Bugs found after merge are slower and more expensive to fix, and vague failure messages waste developer time. This agent puts structured test results and evidence on the merge request itself, so issues are fixed while the change is fresh and nothing broken slips into main. Your team gets consistent testing without a dedicated QA hire, and your GitLab plan stays the same. The Scope Card fixes the project, mapping, test workflow and trial runs before you order, so you know exactly what is being built.
Problems this solves
Merge requests go in before the test plan has been run
The agent runs your structured test plan for the GitLab project when a merge request opens or a pipeline runs. Findings are ready before a reviewer approves the change.
Developers waste time recreating bugs from vague reports
Each defect comes with evidence, posted as a merge request comment or in your tracker. Steps and logs sit right where the developer is already working.
Teams need tight control over what a testing tool can touch
It connects with a project or group access token you hold, and nothing ships without your approval. The documented field mapping shows exactly what it reads and writes.
A good fit if
Your code and CI live in GitLab, and a manual test pass holds up merge requests before each release.
You want test results visible on the merge request, next to the pipeline that triggered them.
Defects should reach your tracker, such as Jira or Linear, or a chat channel, with reproduction evidence.
You can issue a GitLab project or group access token and give an admin 30 minutes for setup.
Not the right fit if
You want merge requests reviewed for bugs, security issues and standards. See AI Code Review Agent for GitLab.
You need failing pipelines diagnosed and fixes proposed. See AI DevOps Agent for GitLab.
Your code is hosted on GitHub. See AI QA Agent for GitHub.
You mainly need dependency upgrades proposed and tested. See AI Dependency Update Agent.
How it works
- Your GitLab admin issues a project or group access token, and on a 30-minute call we agree what the agent reads and writes across projects, merge requests and pipelines.
- We turn your test plan, coding standards and CI details into one automated workflow for one project and stack.
- Runs start from the trigger you pick, such as a new merge request or a pipeline run.
- Each failure is reported with evidence as a merge request comment, or as a ticket in the one additional system you connect.
- Nothing is merged or deployed by the agent; production changes always wait for human approval.
- A trial on 20 real merge requests or pipeline runs comes before launch, and we review the findings with you.
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 GitLab project or group access token scoped to the project under test.
- A GitLab admin for a 30-minute setup call.
- Your CI/CD configuration, including the relevant pipeline definitions.
- The test plan or scenarios, plus coding standards or runbooks.
- Access to the tracker or chat tool that should receive defects.
- One decision-maker who signs off the test plan.
- 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, access token checked, mapping agreed.
Weeks 1–2
Testing workflow built for your GitLab project and trigger.
Week 3
Merge request comments and tracker reporting connected.
Weeks 3–4
Trial on 20 real merge requests or pipeline runs.
Week 4
Two rounds of changes after the trial.
Go-live
Live, recorded 45-minute handoff, 30 days of support.
| 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
- The QA agent running your test plan on one GitLab project, triggered by merge requests or pipelines
- Defect reports as merge request comments or in your tracker
- GitLab connection through an access token, plus one more system
- Documented field mapping and test report from a trial on 20 runs
- Admin guide and recorded handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can stop untested changes slipping into the main branch.
- Helps developers fix defects faster with the evidence in front of them.
- Merge requests tested
- Compare how many merged requests had a completed test run, for a month before launch and a month after.
- Escaped defects
- Count bugs found after release that the test plan should have caught, month by month.
- Defect turnaround
- Measure time from a defect report to its fix merging in GitLab, before and after launch.
Before you start: Record how many merge requests are tested today and last month's post-release bug count.
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. Afterwards, AI usage and CI minutes run roughly $20 to $200 a month in your own accounts, driven by how often pipelines trigger tests. GitLab licenses or plan upgrades are not included.
AI usage and CI minutes during build and testing are billed to your accounts as well.
Ask about running costsCustom requirements
A second project, an additional testing workflow or custom GitLab objects beyond the agreed mapping can be quoted. Add a note at checkout for a written Change Quote.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes and a monthly allowance of change hours, for example adding scenarios when a new feature ships. It starts after the 30 days of support and can be cancelled any month.
$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 test automation platform bills per seat or per parallel run | A QA consultancy bills monthly | Ours is one fixed price, shown before you buy |
| Where results land | A separate test dashboard | A periodic written report | Ours comments on the merge request with evidence |
| Access | May need wide account access | Needs user accounts for testers | Ours uses a project or group access token |
| Delivery | Connects fast, test scripts take longer | Weeks to ramp up a team | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
What does AI QA Agent for GitLab read and write in GitLab?
Projects, merge requests and pipelines, under a two-way mapping agreed with your admin. It reads the merge request and pipeline it is testing and writes defect reports as merge request comments. Custom GitLab objects outside the mapping are excluded unless added by Change Quote.
What GitLab access does AI QA Agent for GitLab need?
A project or group access token covering the project under test, plus a GitLab admin for a 30-minute setup call. The token is limited to what the agreed mapping requires. GitLab licenses and plan upgrades are outside this build's price and stay your responsibility.
Can AI QA Agent for GitLab run inside our existing pipelines?
Yes. It runs inside your existing Git and CI workflow, triggered by a merge request or a pipeline run, so no new CI system is needed. The scope covers one project and one automated testing workflow; anything more is quoted as a Change Quote first.
What does AI QA Agent for GitLab cost to run each month?
Roughly $20 to $200 a month for AI usage and CI minutes, billed to your own accounts and rising with how often tests run. Your GitLab subscription stays as it is, with no plan upgrade needed. The build price and delivery options are shown on this page before you order.
Does AI QA Agent for GitLab deploy or merge anything?
No. It tests and reports. Production changes require human approval, and merging stays with your developers. Every defect arrives as a reviewable comment or ticket with evidence, so a person decides whether and how to fix it, and when it ships.
What is the trial before AI QA Agent for GitLab goes live?
It runs against 20 real merge requests or pipeline runs before launch, and we review the findings with you. Two rounds of changes then refine the test plan and reporting, so the agent's judgment is checked on your own project first.
Put test evidence on every merge request.
Order AI QA Agent for GitLab and your test plan runs from merge requests and pipelines on a fixed delivery date, with defects reported on the merge request.
Works well with
