Why we built FeedbackFalcon

You know what flow feels like.

Your editor is open, the logic clicks, and the app is coming to life. Your hands barely leave the keyboard.

And then a Slack message pings.

"Hey, the checkout button looks weird and nothing happens when I click it."

Attached is a cropped, blurry screenshot. Flow is gone.

You open a bloated Jira board. You ask the client what browser they're using. You dig through your codebase trying to map a brittle CSS path like #root > div.page-transition-wrapper > main to a React component.

You spend 45 minutes reproducing a bug that takes two minutes to fix.

For a long time, we just accepted this. We paid a "per-seat" tax to legacy bug trackers every time we invited a freelancer or a client to collaborate. And even then, engineers were still completely in the dark about what actually broke.

A better way to work.

AI-powered IDEs change a lot, but they don't change this: AI agents are just as blind to the client's local environment as we are. An LLM cannot fix what it can't see, and a screenshot or a CSS selector is basically useless to an AI.

FeedbackFalcon gives your agent eyes.

Visual feedback isn't enough anymore. If you want autonomous debugging, you need the actual technical state.

When a client reports an issue, FeedbackFalcon doesn't just take a picture. It captures the semantic Accessibility (A11y) tree. It intercepts the silent console.error crashes. It grabs the 500 error from the network tab.

The bug comes to you.

Instead of context-switching between your browser, a project board, and your terminal, you stay in your editor.

Using our native Model Context Protocol (MCP) server, your AI agent pulls the exact context of the client's session right into your IDE. It reads the failed API payload, understands the semantic structure of the page, and writes the fix.

No context switching. No brittle selectors. No guessing about local state.

Pricing that doesn't penalize you.

We think tools should help your team grow, not tax you for it. Our single-tenant architecture allows us to offer flat-rate pricing. Invite your entire agency, all your contractors, and every single client. You'll never worry about a per-seat license fee again.

You can keep hunting for context, or you can let your AI agent write the fix.