APareek89

Power Coding — AI skill for Claude Code

AI community

Mindful-coding OS for any LLM coding agent (Claude Code, Codex, Gemini CLI) — the Five Forces: session handoff, eval loops, vibe-debugging diagrams, FMEA failure scans + a pre-commit secret gate.

How to install Power Coding

This entry records only its repository, not the path inside it, so there is no exact command to give. Open APareek89/power-coding and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Power Coding does

Mindful-coding OS for any LLM coding agent (Claude Code, Codex, Gemini CLI) — the Five Forces: session handoff, eval loops, vibe-debugging diagrams, FMEA failure scans + a pre-commit secret gate. Plain markdown, no daemons.

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README

Power Coding — The Five Forces of Mindful Coding

*A structured framework for building scalable apps with AI coding agents, by Anand Pareek.*

[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE) [![GitHub stars](https://img.shields.io/github/stars/APareek89/power-coding?style=social)](https://github.com/APareek89/power-coding/stargazers) ![Works with Claude Code · Codex · Gemini CLI](https://img.shields.io/badge/works%20with-Claude%20Code%20%C2%B7%20Codex%20%C2%B7%20Gemini%20CLI-8A2BE2) ![No daemons · plain markdown](https://img.shields.io/badge/mechanism-plain%20markdown%2C%20no%20daemons-brightgreen)

Five forces quietly kill every AI-assisted project. Each one has a proven counter-discipline — borrowed from aerospace, the Toyota Production System, and modern eval-driven ML practice, and translated for LLM agents. Power Coding installs all five as one system, in plain markdown files your agent re-reads every session. Works with any agent (Claude Code, Codex, Gemini CLI…) — no daemons, no hooks, no lock-in.

Proof — measured, not claimed

Two independent audits of **real production builds** — one over Claude Code sessions, one over Codex sessions — [are written up here](docs/benefit-audit.md). Honest summary:

On a large, failure-prone build, ~4–8 saved agent-hours and ~3–6M non-cached tokens per build.
The FMEA / Sentinel gates caught ≥32 real defects before they shipped — including a cross-tenant IDOR, SSRF / DNS-rebinding exposure, duplicate-queue & approval races, and non-fail-closed auth middleware.
It's an honest counterfactual estimate, not an A/B test — and on tiny, low-risk changes it's not worth the overhead. The audit keeps every limitation in.