How Atlassian cut PR cycle time by 45% with AI code reviews
Jan 29, 2026Taroon Mandhana

Summary
This post details the integration of Rovo Dev, an AI developer agent, into Bitbucket for code reviews. It highlights three key areas of improvement: instant feedback on code quality using LLMs, enforcement of organizational engineering standards (lint rules, design patterns, security, compliance, API contracts) by pulling context from Confluence, and ensuring PRs meet Jira acceptance criteria by connecting to Jira work items. The post quantifies the impact by stating a 45% reduction in PR cycle time and a 5-day faster first PR merge for new engineers using Rovo Dev. It also mentions beta results showing a 32% reduction in customer PR cycle time.
More from the AI-Native Software Development Capabilities in Jira trail
- A simpler way to run AI agents in Bitbucket Pipelines
- We’re bringing governed agent loops to the AI-Native SDLC
- How we made vulnerability fixes review-ready with Agentic Pipelines
- Agentic automation in practice: putting standard engineering work on autopilot
- Opening the door to agent autonomy: The architecture behind Rovo’s agent harness