Unknown author · Developer Tools
5 items
Export Azure DevOps PR review comments, diffs & suggestions to AI-ready Markdown — agent instructions built in. One click. Turn Azure DevOps pull request review feedback into AI-ready Markdown — in one click. THE PROBLEM Handing PR review feedback to an AI coding agent (GitHub Copilot, Cursor, Claude, ChatGPT) means manually copying every comment, one at a time: the file path, the line numbers, the highlighted code, any code suggestions, the comment, and every reply. Across a dozen threads that is slow and error-prone — and Azure DevOps has no built-in export. Resolved comments are even hidden from view. THE SOLUTION This extension adds an “Export feedback” button to your pull request header. Click it and the entire code review is scraped into a single, clean Markdown document — copied to your clipboard AND downloaded as a .md file — ready to paste into your AI agent so it can implement the changes. WHAT YOU GET (per thread) • Exact file path • Line number and range • The highlighted code, with +/- diff markers and line numbers • Code suggestions (Azure DevOps “Suggested change” blocks) • The original comment and every reply • Author names and timestamps • Code blocks preserved verbatim (fences + language intact) UNRESOLVED — OR EVERYTHING • Main button: export unresolved (Active / Pending) threads • Dropdown: export ALL threads, including Resolved, Closed, Fixed and Won’t Fix • Collapsed and resolved threads are expanded automatically before exporting PRIVATE BY DESIGN • No account, no sign-in, no API key • No servers — everything runs locally in your browser • No data collection, no tracking, no analytics • Requests no special permissions beyond running on your Azure DevOps pages HOW TO USE 1. Open your pull request and go to the Files tab (all changes) 2. Click “Export feedback” (or the dropdown for “Export all”) 3. Paste the Markdown into your AI coding agent Perfect for developers who use AI coding assistants to work through code review feedback on Azure DevOps and Azure Repos. Open source: https://github.com/hanif-mianjee/azure_devops_pr_feedback_extractor
Jul 19, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.