Automate GitLab MR Code Reviews with Gemini AI & JIRA Context

This workflow automates code reviews for GitLab merge requests (MRs) by listening for a specific comment trigger like 'ai-review'. It fetches MR details and diffs, parses changes into original and new code blocks, and optionally pulls JIRA ticket summaries (including parent tickets for subtasks) if a ticket ID is in the MR description. The data is then sent to Gemini AI (or any LLM) with tailored prompts to detect logic, security, performance issues, and suggest improvements.

Benefits include rapid, high-quality feedback without relying on human reviewers, catching subtle issues that manual reviews might miss, and enriching reviews with project context from JIRA. It's customizable—swap LLMs, adjust prompts for team standards—and posts targeted inline comments or an 'all clear' message if no issues are found.

Ideal use cases: Accelerate dev workflows in teams using GitLab and JIRA; ensure consistent review quality for busy projects; integrate AI to scale feedback on high-volume MRs. Note potential AI costs and geo-restrictions.