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Faster Fixes
The client feedback widget built for AI coding agents
Open-source website feedback widget for developer teams. Clients leave visual bug reports with full technical context, delivered to your AI coding agent via MCP.
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!
About Faster Fixes on Product Hunt
“The client feedback widget built for AI coding agents”
Faster Fixes was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #160 on the daily leaderboard. Open-source website feedback widget for developer teams. Clients leave visual bug reports with full technical context, delivered to your AI coding agent via MCP.
On the analytics side, Faster Fixes competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Faster Fixes performed against the three products that launched closest to it on the same day.
Who hunted Faster Fixes?
Faster Fixes was hunted by Manuel Coffin. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Faster Fixes including community comment highlights and product details, visit the product overview.
Manuel Coffin