AI products that work with Bitbucket
For teams that keep their code in Bitbucket, these products work where your repositories already are. One reviews pull requests for bugs, security issues and standards, leaving comments inline. The other watches pipelines and alerts, diagnoses failures and proposes fixes. Both connect natively and read and update repositories, pull requests and pipelines in your own account.
- Data exchanged
- repositories, pull requests and pipelines
- Access you provide
- Bitbucket app password or OAuth consumer
- Added to the core price
- $500 for the Bitbucket edition of a product
- Not included
- Bitbucket license or subscription costs, and any customization beyond the field mapping agreed during setup.
| Product | What it does in Bitbucket | Price | Add to cart |
|---|---|---|---|
| AI Code Review Agent for Bitbucket | Reviews pull requests for bugs, security issues and standards and comments inline, connected natively to Bitbucket so it reads and updates repositories, pull requests and pipelines. | Price range: $4,400 through $5,950 | Add to cart |
| AI DevOps Agent for Bitbucket | Watches pipelines and alerts, diagnoses failures and proposes fixes, connected natively to Bitbucket so it reads and updates repositories, pull requests and pipelines. | Price range: $5,400 through $7,000 | Add to cart |
How do the Bitbucket editions fit into your workflow?
They meet developers in the places they already look. The AI Code Review Agent for Bitbucket comments inline on pull requests, so feedback lands next to the code it concerns. The AI DevOps Agent for Bitbucket watches pipelines and alerts, so when a build fails it can diagnose the problem and propose a fix, rather than leaving someone to dig through logs.
Which one helps your team first?
If reviews are the bottleneck, with pull requests waiting on busy senior engineers, start with code review. It checks for bugs, security issues and your standards before a human looks. If failed pipelines eat the afternoon, start with the DevOps agent. Both keep people in charge: one comments, the other proposes.
- Code Review Agent: bugs, security issues and standards
- Code Review Agent: inline comments on pull requests
- DevOps Agent: pipeline and alert watching
- DevOps Agent: failure diagnosis and proposed fixes
Questions buyers ask
Does the AI Code Review Agent replace human reviewers?
It is built to review pull requests for bugs, security issues and standards and to comment inline. Human reviewers still decide whether code is ready. What changes is that obvious issues are flagged before a person opens the pull request, so their time goes on design and logic.
Will the DevOps agent apply fixes on its own?
Its job is to diagnose failures and propose fixes. Whether a proposed fix is applied is a decision for your team. That keeps control over your pipelines with your engineers, while the agent handles the watching and the first round of diagnosis when something breaks.
What access do the Bitbucket editions need?
They connect natively to Bitbucket and read and update repositories, pull requests and pipelines. That access is what lets the review agent comment on pull requests and the DevOps agent follow pipeline runs. Everything runs in your own account, and the Scope Card sets out what each product does with it.
How the connection is set up
The general pattern we follow for every integration.
- 1You create the necessary access in your Bitbucket account: a private app, an API key, or an OAuth approval, depending on what Bitbucket supports.
- 2We agree a secure way to share access during intake. Please never send passwords or API keys by email.
- 3We agree the field mapping with you and test it on sample records before anything goes live.
- 4You can revoke access from Bitbucket or the portal at any time.
Frequently asked questions
Which Bitbucket plan do I need?
It depends on the product. Each product page lists the Bitbucket features it relies on; plan upgrades are not included.
Will it change my existing data?
Only the fields in the mapping agreed with you, and that mapping is tested on sample records before anything goes live.
Can I use a different platform instead?
Many products also have editions for other platforms. See the full integrations list for what is currently published.