#devtools

Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.

📝 A declarative schema-based Markdown validator that helps maintain consistent documentation structure across projects.

A React Native Geolocation module Using Nitro

AI agents can generate code, but they still struggle to understand what they build. Reticle gives them runtime perception of web applications.

Ship features 10x faster. Built In Auto: Memory, K8S Agent & Security (SDD+SDLC) . 😇

MCP server for AWS infrastructure analysis — DynamoDB, Lambda, SQS, SNS, S3, API Gateway, PostgreSQL, MySQL, MongoDB, Kafka & IaC drift. Works with Claude Code, Cursor, and GitHub Copilot.

Multi-agent autonomous SDLC framework. Spec to deployed app. PRD, GitHub issue, OpenAPI/JSON/YAML, or one-line brief. 5 AI providers, 8 quality gates.

Local execution trees for TypeScript AI agents. agent-inspect helps you understand what happened inside an AI agent run — locally. It turns manual steps, tool calls, LLM calls, structured logs, failures, durations, and run metadata into readable execution trees you can inspect from the terminal. It is built for TypeScript/Node.js developers..