As a freelance developer, I work with clients all the time — and the feedback phase has always been a mess. Feedback comes through WhatsApp, Slack, emails, Loom videos, or blurry phone pictures instead of proper screenshots. Most of the time, the technical context is missing, so I end up spending hours trying to understand, reproduce, and fix issues before I can even start coding. That’s why I built FasterFixes. You send your client a link, and they can instantly leave visual feedback directly on the website, like in Figma or other collaborative tools. Every report automatically captures the full technical context: screenshot, page URL, DOM selector, browser metadata, React component tree, and more. Then comes the interesting part. Your AI coding agent can retrieve feedback directly through our MCP server from tools like Cursor, Claude Code, or Codex. Since the full context is already attached to the report, the agent can inspect the issue, understand the bug, and often propose or implement a fix automatically. You can also sync feedback to GitHub or Linear so it fits naturally into existing agency or team workflows. Client comments become structured tasks instead of chaotic conversations. The goal is simple: save developers hours of back-and-forth, reduce the mental load of client reviews, and make feedback finally feel manageable. FasterFixes is fully open-source, and I’d love your feedback on it. If you like the project, feel free to check out the repo and give it a star!

Faster Fixes

The client feedback widget built for AI coding agents

The client feedback widget built for AI coding agents