Code Quality
AI QA Agent
Runs structured test plans against your application and reports defects with evidence.
Code Quality
AI Code Review Agent for Bitbucket
Bitbucket pull requests get a standards-based review with line comments, so reviewers start from findings, not a blank diff.
Bitbucket reviewers often start from a blank diff and a long queue. This agent reviews every pull request in your repository for bugs, security issues and your coding standards, and leaves comments on the lines it flags. Findings can also reach Jira or Slack. It connects through a Bitbucket OAuth consumer or app password, and every merge decision stays with your team.
- Line comments on every Bitbucket pull request it reviews
- Findings sent on to Jira or Slack when you want them
- Merge decisions always stay with your team
$4,400
20–30 working days
Optional maintenance $249/mo
What it is
AI Code Review Agent for Bitbucket reviews pull requests in one Bitbucket repository for bugs, security issues and your coding standards, leaving comments on the lines it flags for your team to decide on. It connects through a Bitbucket OAuth consumer or app password. Findings can also go to Jira or Slack.
Why businesses buy it
When reviews wait for the one person who knows the codebase, delivery slows and quality varies. Small issues reach production because reviewers were rushed. This agent gives each Bitbucket pull request a consistent first review against your own standards, so reviewers start from a list of findings and spend their time on the decisions only people can make. Your Bitbucket plan stays the same. The Scope Card fixes the repository, mapping, connected systems and trial on real pull requests before you order, so the build stays exactly as agreed.
Problems this solves
Bitbucket pull requests queue up behind a small review team
The agent reviews each pull request in your Bitbucket repository and comments on the lines it flags. Your team can work through its findings while waiting for a human reviewer.
Review findings vanish once a pull request is merged
Findings can also go to Jira or Slack as the one extra connected system. Follow-up work is tracked where your team already plans, rather than lost in closed pull requests.
Security checks depend on who happens to review that day
Every change is checked for likely bugs, security issues and your coding standards. The same checks run whoever is on review, and your team decides on each finding.
Connecting a new tool to Bitbucket must stay under your control
It connects through a Bitbucket OAuth consumer or app password that you create. Access stays with keys you hold, and the documented field mapping shows what it can touch.
A good fit if
Your code is in Bitbucket and pull requests sit open while reviewers are busy elsewhere.
Your team tracks work in Jira and wants serious findings recorded there.
An admin can create an OAuth consumer or app password limited to the agreed repository.
You have coding standards for one stack that reviews should apply every time.
Not the right fit if
Your repositories are on GitLab. See AI Code Review Agent for GitLab.
Your Bitbucket Pipelines fail often and you want the cause diagnosed. See AI DevOps Agent for Bitbucket.
You want routine dependency upgrades proposed, not code reviewed. See AI Dependency Update Agent.
You want documentation kept current from code and specs. See AI Documentation Agent.
How it works
- A Bitbucket OAuth consumer or app password connects one repository, with the mapping of pull requests and pipelines agreed with your admin.
- Every new or updated pull request is checked against your standards for the stack in scope.
- Bugs, security issues and standards breaches become comments on the flagged lines, each explaining why.
- Pipeline results from Bitbucket are part of the mapping, so the review sits alongside what your build reported.
- Findings that need tracking go to the one other connected system, for example Jira or Slack.
- It comments only and never merges. A trial on 20 real pull requests comes before launch.
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 Bitbucket OAuth consumer or app password limited to the agreed repository.
- A Bitbucket admin for a 30-minute setup call.
- CI/CD configuration details for the repository.
- Your coding standards or runbooks for the stack in scope.
- Access to Jira, Slack or the other tool where findings should go.
- 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; repository, access method and standards agreed.
Weeks 1–2
Standards turned into review rules.
Week 3
Bitbucket connection and line comments tested.
Weeks 3–4
Trial on 20 real pull requests, findings discussed.
Week 4
Your review and two rounds of changes.
Go-live
Live; mapping documented; 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
- The review agent on one Bitbucket repository, leaving comments on flagged lines
- Bitbucket connection through an OAuth consumer or app password, plus Jira or Slack
- Documented field mapping and your coding standards in the configuration
- Test report from a trial on 20 pull requests
- Admin guide and recorded 45-minute handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can make review quality less dependent on who is available.
- Helps follow-up work land in Jira or Slack instead of being forgotten.
- Time to first review
- Compare open-to-first-comment times on Bitbucket pull requests for a month before launch and after.
- Follow-up items tracked
- Count review findings that became Jira issues or Slack threads, and how many were closed each month.
- Post-merge defects
- Count defects in Jira linked to merged pull requests, a month before launch and each month after.
Before you start: Record current review times and the number of post-merge defects in Jira for the last month.
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, in line with pull request volume.
Bitbucket plans are unchanged and outside the build. Build and trial AI usage is billed to your accounts.
Ask about running costsCustom requirements
More repositories, a second stack or custom Bitbucket objects outside the agreed mapping are priced through a written Change Quote. Add a note at checkout; you get 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 revising a rule that flags too much. 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 code-review add-on bills per user | A contractor bills hourly | Ours is one fixed price, shown before you buy |
| Comments | Generic lint-style notes | A review document | Ours comments on the flagged lines with reasons |
| Tracking | Stays inside the tool | An email summary | Ours can send findings to Jira or Slack |
| Delivery | Quick install, generic rules | Weeks to ramp up | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
What Bitbucket access does the review agent need?
A Bitbucket OAuth consumer or app password, as listed on the Scope Card, created by your admin and scoped to the agreed repository. We confirm which method your workspace supports on the 30-minute setup call. Access belongs to your Bitbucket account and can be revoked at any time.
Can review findings go to Jira from Bitbucket?
Yes, if Jira is the one other system you connect. Findings worth tracking, such as a security issue left for a later fix, can be raised there, while line comments stay on the Bitbucket pull request. Slack is the alternative if you prefer findings posted to a channel.
Does the Bitbucket review agent read Pipelines results?
Yes. Pipelines are part of the agreed mapping, so the agent can see the pull request's build result next to the code it reviews. It does not edit your pipeline configuration. Diagnosing failed builds and proposing fixes is the job of AI DevOps Agent for Bitbucket.
Will it block or merge Bitbucket pull requests?
No. It leaves comments and suggestions, and your reviewers decide what happens. Merge checks and approvals stay under your team's control in Bitbucket. That boundary is fixed in the build rather than being a setting that could be switched on by mistake.
What will Bitbucket code review cost to run?
Roughly $20 to $200 a month in your own accounts, covering AI usage and CI minutes, depending on how many pull requests you open. Your Bitbucket plan is unchanged, and we take no per-user fee. The build itself is paid once, and monthly maintenance is optional.
How fast can Bitbucket pull request reviews begin?
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. The access credential and your coding standards are the first intake items to send, because the review rules are built from them.
Start every Bitbucket review from a list of findings.
Order AI Code Review Agent for Bitbucket and pull requests in your repository get standards-based line comments on a fixed delivery date, with merges left to your team.
Works well with
Code Quality
AI Dependency Update Agent
Proposes and tests dependency upgrades as reviewable pull requests.
