Code governance for the Atlassian stack
The hardest review problems are not always visible in the diff. A pull request can look correct while still missing the requirement it was meant to fulfill.
For enterprise teams using Atlassian, the context needed to catch those gaps is spread across the stack. Jira holds the intent. Confluence holds the architecture and engineering standards. Bitbucket holds the code and review history. When a reviewer, human or AI, sees only the pull request, they are left to reconstruct the rest.
Starting today, Qodo runs natively across all three, bringing requirements, documentation, codebase context, and review history into every review.
Bitbucket: native agentic review, trained on your team’s history
A useful code review needs more than the lines changed in a pull request. It needs to understand the surrounding code, the requirements behind the change, the rules your team follows, and the way similar changes have been reviewed before.
Qodo brings that context into Bitbucket with review agents that analyze each pull request against the broader codebase, linked Jira requirements, and your organization’s rules. When they identify an issue, developers can move from finding to fix with a one-shot prompt.
Qodo also learns from your pull request history. The PR Knowledge System analyzes up to one year of code and review comments, or 1,000 pull requests, to identify the patterns and feedback that shape how your team works. That history helps Qodo surface findings and suggestions that are more relevant to your codebase and review standards from the first review.
More than 1 million Qodo reviews have already run on Bitbucket.
Learn more about PR history awareness and Suggestion relevance in our documentation
Jira: review that understands intent
A pull request can be technically sound and still fail to deliver what the ticket asked for. Qodo connects each review to the linked Jira issue, using its requirements and acceptance criteria to evaluate whether the implementation matches the intended scope.
Qodo’s specialized review agent for identifying requirement gaps compares the code in the pull request with the linked specification. It flags requirements that are missing or only partially implemented, along with changes that fall outside the documented
Learn how requirement gaps are generated
Confluence: documented standards, in every review
Architecture decisions, design documents, and engineering standards stored in Confluence become part of the review context. When a pull request references a design document or linked Confluence page, Qodo evaluates the implementation against the guidance it contains.
This turns documentation into an active part of code review, helping teams catch changes that conflict with agreed architecture, design, or standards before they merge.
How Qodo connects PRs to your Atlassian assets
No manual tagging.Qodo detects the Jira ticket and Confluence pages behind every PR automatically.
Jira tickets, via either method:
- PR description reference: the full ticket URL (https://<JIRA_ORG>.atlassian.net/browse/<TICKET_ID>) or the shortened ticket ID (e.g., ISSUE-123; shortened IDs require the Jira base URL to be configured).
- Branch name detection: prefix the branch with the ticket ID, e.g. ISSUE-123-feature-description or feature/ISSUE-123/feature-description.
How to link a PR to a Jira ticket →
Confluence pages: Qodo scans the PR description and title for Confluence links, and scans linked tickets for referenced pages, pulling the right documents into review context.
Why 40% of Qodo enterprise customers connect an Atlassian ticketing integration
Code review without understanding intent is only part of the story. A diff can be technically clean and still wrong with correct code that implements the wrong thing, or only half of it. No amount of static analysis catches that; the ticket does. That’s why around 40% of Qodo’s enterprise customers connect an Atlassian ticketing integration for requirements-aware review, comparing the codebase against requirements on every PR.
For teams using ticketing integrations, Qodo identifies at least one requirement gap in one out of every five pull requests. One in three critical requirement gaps is fixed by the developer before merge, helping teams catch issues during review instead of later in QA or production.
How to get started
- Install Qodo on Bitbucket. Connect your workspace (Cloud or Data Center) and Qodo starts reviewing pull requests. Install Qodo on Bitbucket →
- Connect Jira. Install the Jira integration from the Atlassian Marketplace so review agents can read ticket intent and surface requirement gaps. Jira integration docs →
- Connect Confluence. Enable the Confluence integration so documented standards and design docs enter review context. Confluence integration docs
- Link PRs to your Atlassian assets. Reference the ticket in the PR description or branch name, and link Confluence pages from the PR or ticket — Qodo picks them up automatically. How to link a PR to a Jira ticket →
