Loops explained: Claude, GPT, Mira and what actually works
A viral breakdown of AI agent loops, how Claude, ChatGPT, and Mira implement Plan-Execute-Verify cycles and when to actually build one.
Articles #agent #loops #claude
Best for Builders who run the same AI task weekly or more and want compounding results instead of one-shot prompts
Nauval AI Components
Open-source React component kit for agentic AI apps: streaming chat, tool calls, reasoning, citations, and more, SDK-agnostic and fully owned by your codebase.
Platforms & Services #react #open-source
Loop Library
A catalog of repeatable AI agent workflows with built-in feedback loops, plus an installable skill for finding, adapting, and designing your own loops.
Skills #open-source
Improve
Agent skill that audits your codebase with a capable model and writes executable plans for cheaper models to implement, by shadcn.
Skills

Best for React teams building agentic or chat interfaces who want streaming-ready components without writing them from scratch

Best for Teams using Codex, Cursor, or Claude Code who want agents to iterate reliably instead of making one-shot guesses

Best for Teams running AI-assisted development at scale who want high-quality code review without paying for a capable model on every execution step