disbug.io · Developer Tools
4 items
Turn a bug into structured, reproducible context your AI coding agent can read. Session replay, console, network, DOM, env. Disbug turns a bug into context your AI coding agent can actually use. You already fix bugs with an AI agent — Cursor, Claude Code, Copilot, Windsurf. The agent is only as good as the context you give it, and "it's broken on this page" gets you nowhere. Disbug is the eyes and ears of that loop: pin a bug in the browser and it captures a complete, reproducible session your agent can read. 🎯 Pin the bug, capture everything — one click ✔ Full session replay (every click, input, and DOM change leading up to the bug) ✔ Console logs and errors ✔ Network requests, with responses ✔ Screenshot of the exact moment ✔ DOM state ✔ Environment: browser, OS, viewport, locale, signed-in user 🤖 Hand it straight to your AI coding agent Save the session and your agent picks it up with full context — or download it as local JSON and copy it as markdown to drop into any agent, PR, or issue. Structured and reproducible, not a vague screenshot and a paragraph of guessing. 🔁 Close the engineering loop Bug found → structured context → your agent reproduces and fixes it. Disbug doesn't fix bugs; it makes them legible to the agent that will. Less Dev↔QA back-and-forth, faster fixes, reproducible every time. 🚀 Up and running in minutes ☝ Install and sign in at https://disbug.io ✌ Create a project 🤝 Capture your first bug and send it to your agent. Questions or a demo: team@disbug.io
Sep 18, 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.