33 related articles

Superpowers is a trending GitHub project that builds an agentic skills framework with Shell scripts, injecting software engineering methodology into AI coding workflows. A deep dive into its architecture and value.

In the age of AI-assisted programming, how do you make tools like Codex and Claude Code output more stably? This article deeply analyzes SuperPowers and GStack, covering project-level orchestration and module-level code layering to help developers master AI coding.

A deep dive into engineering Vibe Coding: using Superpowers for project-level decomposition and gstack for module layering and constraints to tame AI coding assistants like Codex and Claude Code.

How the Superpowers methodology constrains AI coding assistants through requirement clarification, task decomposition, TDD, and verification loops — with setup tips for Trae.

A complete guide to Codex Superpowers: 14 composable skills covering brainstorming, planning, TDD, and code review, with a real-world WeChat Mini Program case study.
TutorialsSuperpowers is a must-have plugin for Codex and Claude Code that uses AI reverse questioning to help developers clarify vague requirements, lower prompt writing barriers, and reduce code rework.
Product ReviewsIn-depth comparison of Claude Code's top open-source plugins Superpowers and GStack — their skills, workflows, and use cases to help developers choose the best AI coding assistant setup.
TutorialsDeep dive into Superpowers, a ~200K Star GitHub project that uses 5 phases and 14 Scale modules to systematically improve AI Coding Agent code quality.
Tech FrontiersSuperpowers is an open-source AI coding framework with 180K GitHub Stars that uses Spec First, TDD, and Subagent task decomposition to transform AI assistants from code generators into engineering partners.
TutorialsHow to use the Superpowers Writing Plans skill correctly—identify AI blind spots, supply API docs, and use tiered models to cut Token costs in half from the planning stage.
TutorialsComplete guide to installing Claude Code in three commands, configuring models for China-based users via manual setup or CCSWITCH, and using the Superpowers plugin with TDD to boost AI code quality.

When AI tools let everyone code and design, where is your edge? A deep analysis of why focus and execution are the scarcest superpowers in the AI era.

A step-by-step Pi Agent configuration tutorial covering installation, LLM connection, extension ecosystem, MCP setup, and Token-saving tips. Learn to build a truly controllable AI coding assistant.

7 practical GPT-5.6 optimization tips for Codex: control context windows, choose thinking modes, limit sub-agents, and trim agents.md to save tokens and cut costs.

July 12 GitHub trending: Agent Skills/MCP ecosystem explodes with superpowers hitting ~900 stars, pgrust rewrites Postgres in Rust passing 100% tests, plus solid engineering foundations.

July 10 GitHub Daily: The Agent Skills ecosystem explodes as over half of trending projects revolve around AI coding Agent skill libraries, with MCP as the standard interface.

A systematic breakdown of the complete AI Agent learning roadmap, covering prompt engineering, the ReAct paradigm, memory mechanisms, and multi-agent collaboration, with hands-on project advice.

The biggest obstacle to smart glasses adoption isn't technology—it's the privacy trust crisis. From Google Glass's failure to Meta's new generation, this article explores how wearable cameras break social trust.

Matt Pocock's 4-step framework for AI Agent Skill design: Trigger, Structure, Steering, Pruning. Escape skill hell, tell good skills from bad, and master leading words to make Agents follow your intent.

Matt Pocock's 4-step framework for AI Agent Skill design: Trigger, Structure, Steering, Pruning. Escape skill hell and learn to write high-quality skills.