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Shuge Unlimited

Formerly "Ops with Skill", now officially upgraded. Fully dedicated to AI, we share both the why (fundamental insights) and the how (practical implementation). From technical operations to breakthrough thinking, we help you understand AI's transformation and master the core abilities needed to shape the future. ShugeX: boundless exploration, skillful execution.

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Latest from Shuge Unlimited

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Shuge Unlimited

Apr 18, 2026 · Artificial Intelligence

From Legacy Coding to AI‑Assisted Development: A Hands‑On Guide to Using Superpowers and OpenSpec

The article presents a step‑by‑step AI‑enhanced workflow for modernising legacy systems, explaining how OpenSpec’s spec‑driven requirement layer and Superpowers’ strict execution pipeline (brainstorming, isolated worktrees, TDD, code review) together resolve inaccurate demand understanding and uncontrolled code generation, with a concrete flash‑sale implementation and practical pitfalls.

AI CodingOpenSpecSpec-Driven Development

0 likes · 20 min read

From Legacy Coding to AI‑Assisted Development: A Hands‑On Guide to Using Superpowers and OpenSpec

Shuge Unlimited

Apr 17, 2026 · Artificial Intelligence

From 6.7% to 68.3%: How Harness Engineering’s Six Pillars Reshape AI Agent Development

The article shows that swapping only the harness around a fixed model can boost performance from 6.7% to 68.3%, then details a six‑layer harness architecture, context‑usage thresholds, entropy management, code‑level constraints, and practical roadmaps drawn from real‑world AI agent teams.

AI agentsEntropy GovernanceHarness Engineering

0 likes · 24 min read

From 6.7% to 68.3%: How Harness Engineering’s Six Pillars Reshape AI Agent Development

Shuge Unlimited

Apr 16, 2026 · Artificial Intelligence

Hermes Agent vs Evolver: A Source‑Level Technical Investigation

The article conducts a source‑level technical investigation of the Hermes Agent and Evolver frameworks, comparing their architectures, naming conventions, core algorithms, configuration designs, Git timelines, documentation, and public evidence to assess whether the observed similarities indicate independent development or possible code reuse.

AI agentEvolverGEP

0 likes · 26 min read

Hermes Agent vs Evolver: A Source‑Level Technical Investigation

Shuge Unlimited

Apr 14, 2026 · Backend Development

Mastering SKU Inventory Deduction with Superpowers: A 7‑Stage Workflow

This article walks through a complete 7‑stage Superpowers workflow—brainstorming, isolated git worktrees, fine‑grained task planning, sub‑agent execution with two‑stage reviews, strict test‑driven development, global code review, and final branch finishing—using Python 3.11, FastAPI, SQLAlchemy and Pytest to implement robust SKU inventory deduction in an e‑commerce system.

AI programmingFastAPIGit worktrees

0 likes · 20 min read

Mastering SKU Inventory Deduction with Superpowers: A 7‑Stage Workflow

Shuge Unlimited

Apr 13, 2026 · Artificial Intelligence

Superpowers Best Practices: 7‑Step Workflow from Requirements to Production‑Ready Code

This article walks through Superpowers' disciplined 7‑stage workflow—starting with brainstorming, using Git worktrees, writing granular plans, automated sub‑agent development, strict TDD, mandatory code review, and final verification—demonstrated with a coupon‑redeem API implementation.

AI programmingGit worktreesSoftware Engineering

0 likes · 21 min read

Superpowers Best Practices: 7‑Step Workflow from Requirements to Production‑Ready Code

Shuge Unlimited

Apr 11, 2026 · Artificial Intelligence

gstack Best Practices: 23 AI Skills and a 7‑Step Workflow for Solo Engineers

gstack is an open‑source AI engineering workflow that bundles 23 AI skills into a seven‑stage sprint (Think, Plan, Build, Review, Test, Ship, Reflect), delivering desktop‑class development speed, detailed security, and cross‑model collaboration for solo developers or small teams.

AIDevOpsGstack

0 likes · 17 min read

gstack Best Practices: 23 AI Skills and a 7‑Step Workflow for Solo Engineers

Shuge Unlimited

Apr 10, 2026 · Artificial Intelligence

How Zilliz’s Two Skills Enable AI to Code with pymilvus and Manage Cloud Clusters

This article dissects Zilliz’s Milvus Skill and Zilliz Cloud Skill, showing how a modular set of reference files teaches AI agents to generate pymilvus Python code for vector databases and to operate Zilliz Cloud via CLI, while comparing their architecture, security design, and ecosystem role.

AI agentCloud ManagementHybrid Search

0 likes · 20 min read

How Zilliz’s Two Skills Enable AI to Code with pymilvus and Manage Cloud Clusters

Shuge Unlimited

Apr 9, 2026 · Artificial Intelligence

Superpowers Practical Guide: 7‑Step Workflow, 14 Skills, and 3 Iron Laws for Stable AI‑Driven Coding

Superpowers is an open‑source AI‑coding agent framework that enforces a seven‑step workflow with 14 composable skills and three strict iron laws—mandatory testing, root‑cause debugging, and fresh verification—to make AI‑generated code more reliable, maintainable, and compliant across new projects, feature additions, and bug fixes.

AI programmingSoftware EngineeringSuperpowers

0 likes · 17 min read

Superpowers Practical Guide: 7‑Step Workflow, 14 Skills, and 3 Iron Laws for Stable AI‑Driven Coding

Shuge Unlimited

Apr 8, 2026 · Artificial Intelligence

How Claude Code Reads 10 Files Simultaneously – Full Dissection of Its Tool Concurrency Engine

The article analyzes Claude Code's dual execution engines—StreamingToolExecutor and batch orchestrator—detailing read/write separation, concurrency‑safety checks, Bash error cascade cancellation, progress‑message channels, abort‑controller hierarchy, and ordered result collection that together enable ten files to be read in parallel while preserving correctness and UI responsiveness.

AI agentsClaude Codebatch orchestration

0 likes · 18 min read

How Claude Code Reads 10 Files Simultaneously – Full Dissection of Its Tool Concurrency Engine

Shuge Unlimited

Apr 6, 2026 · Artificial Intelligence

Inside Claude Code: How AI Uses Four Permission Modes and a Two‑Stage Classifier to Guard Itself

This article dissects Claude Code’s permission system, detailing the four exposed permission modes, the eight‑source rule hierarchy, the traditional Bash matching logic, and the sophisticated YOLO Classifier that employs a fast‑first‑stage and a deep‑second‑stage judgment to automatically approve safe actions while falling back to user prompts for risky operations.

AI permissionsAuto ModeClaude Code

0 likes · 22 min read

Inside Claude Code: How AI Uses Four Permission Modes and a Two‑Stage Classifier to Guard Itself