Back to browse
GitHub Repository

AI-powered feedback widget for Next.js — users chat with AI, feedback becomes GitHub issues, an autonomous agent implements them, and the system learns from its own failures.

3 starsTypeScript

Built lovable but for your existing products

by Ndmtrieff·Mar 2, 2026·1 point·1 comment

AI Analysis

●●SolidBig BrainShip It

Autonomous agent that implements feedback PRs and self-fixes failures—but needs proven traction.

Strengths
  • Closed-loop system is genuinely clever: feedback → issue → PR → failure classification → self-fix loop.
  • Full monorepo structure (widget, agent, dashboard, worker toggle) shows serious architecture thinking.
  • Claude integration with Haiku failure classification shows multi-model orchestration sophistication.
Weaknesses
  • Early-stage product (0 GitHub stars, no public examples of shipped feedback)—unproven in production.
  • Unclear if autonomous agents actually improve code quality vs. creating noisy PRs users must review.
Target Audience

SaaS founders, product teams using GitHub, Next.js projects

Similar To

Lovable · Vercel AI SDK · GitHub Copilot Workspace

Similar Projects

Developer Tools●●Solid

We achieved 72.2% issue resolution on SWE-bench Verified using AI teams

They split responsibilities across isolated agents (engineer, reviewer, manager) that get real shell access and independent filesystems, which makes failures traceable and lets you tune model capacity per role. Hitting 72.2% on SWE-bench Verified with no benchmark-specific tuning is an impressive empirical result — interesting architecture and strong evidence — though the security and long-term reliability of autonomous shell-executing agents remain the big open questions.

WizardryBig Brain
NBenkovich
204mo ago