Faster-Fixes
FreemiumAI agent fixes client feedback automatically – without revision chaos
AI Summary
Faster-Fixes is an open-source website feedback widget that captures client feedback directly in the browser and forwards it in a structured format to AI coding agents (Claude Code, Cursor, Codex). The agent analyzes the feedback including screenshot, URL, CSS selector, and console logs, locates the affected code, and fixes the issue automatically. The tool is aimed at developer teams managing client projects who want to eliminate the overhead of translating feedback into actionable tasks.
✓ Pros
- +Automatically captures screenshot, URL, component path, browser details, console logs, and network requests
- +Seamless integration with popular AI coding agents (Claude Code, Cursor, Codex, Gemini) via MCP server
- +Open-source under AGPL-3.0, free plan and 2-minute setup with no credit card required
✗ Cons
- −Currently optimized primarily for React; other frameworks may not be fully supported
- −Fully automated AI fixes require developer code review to prevent unintended changes
Use Cases
- →Clients annotate UI bugs directly on the live site, AI agent fixes them without manual ticket writing
- →Automatic creation of GitHub or Linear issues with full technical context from client feedback
- →AI coding agent fetches new feedback via MCP server, locates the source code, and commits the fix unattended
- →Slack notifications on incoming feedback with screenshot and status badge for the development team
Who is it for?
Ideal for freelance developers and dev teams managing React-based client projects who use AI coding agents to efficiently turn vague client feedback into code fixes.
Tags
What is Faster-Fixes?
Faster-Fixes is an open-source feedback widget that automates the path from client annotation to code correction. Clients comment on issues directly in the browser on the live site. The widget automatically captures a screenshot, URL, affected CSS selector, browser context, console logs and network requests. This bundled context is passed to an AI coding agent (Claude Code, Cursor, Codex or Gemini), which retrieves the feedback via an MCP server, locates the relevant source code and applies a fix. What previously required a ticket, a follow-up question and a translation round between client language and developer context now runs largely automatically.
Core features
- Context-rich feedback capture: Every feedback entry includes a screenshot, URL, component path, browser details, console logs and network requests, without the client filling in any of that manually.
- MCP server integration: AI coding agents fetch new feedback directly via the MCP server and can commit fixes without human supervision.
- Issue creation with technical context: Client feedback can be used to automatically generate GitHub or Linear issues, including all captured technical details.
- Slack notifications: The development team receives a notification with a screenshot and status badge whenever new feedback comes in.
- Low-friction onboarding: Setup takes two minutes according to the vendor, no credit card is required, and the tool is available under AGPL-3.0.
Who is Faster-Fixes for?
The tool is aimed at freelancers and dev teams maintaining React-based client projects. The benefit is most concrete when a significant amount of time goes into translating vague client feedback into precise tasks. Teams already working with AI coding agents can close the loop from feedback to commit without manual hand-off.
Anyone not using React should check whether their stack is supported. Other frameworks are not fully covered at this point. Fully automated AI fixes also require a code review before going to production. The agent works on the basis of the captured context but does not judge whether a change is correct in substance.
Context & alternatives
Faster-Fixes belongs to the category of visual feedback tools for developers, but extends that category with direct agent integration. Established tools such as BugHerd or Marker.io capture feedback with screenshots and enable structured ticket creation. The difference with Faster-Fixes lies in the MCP layer: the AI agent fetches the feedback itself, rather than a developer processing it manually.
Teams that still handle that final step (passing context to the coding agent) by hand lose exactly the time advantage Faster-Fixes promises. For teams that want to implement this automation step consistently and are working with React, that is the decisive differentiator compared to alternatives focused purely on ticket creation.
