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Shuge Unlimited
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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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Recent Articles

Latest from Shuge Unlimited

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Shuge Unlimited
Shuge Unlimited
Jul 25, 2026 · Databases

How Milvus 3.0 Packs 1,031 Patches in One Row with Struct + EmbList, Eliminating Chunk Flattening

The article dissects Milvus 3.0's Struct and EmbList design for storing and querying multi‑vector documents, compares flattening, JSON and named‑vector approaches, explains storage constraints, row‑level vs element‑level search semantics, MAX_SIM integration, a sealed‑segment bug, and practical checklist recommendations.

Array of StructsEmbListMAX_SIM
0 likes · 19 min read
How Milvus 3.0 Packs 1,031 Patches in One Row with Struct + EmbList, Eliminating Chunk Flattening
Shuge Unlimited
Shuge Unlimited
Jul 23, 2026 · Artificial Intelligence

Matt Pocock’s Three Skills: Four Core Terms and a Decision Table to Prompt Agents to Ask the Right Questions

The article breaks down Matt Pocock’s three Agent‑skills—codebase‑design, prototype, and improve‑codebase‑architecture—introduces four precise vocabulary items (deep module, seam, locality, leverage), shows how to use a decision table to steer agents toward the right problem definition, and warns about common pitfalls and token costs.

AI AgentsPrototypecodebase design
0 likes · 18 min read
Matt Pocock’s Three Skills: Four Core Terms and a Decision Table to Prompt Agents to Ask the Right Questions
Shuge Unlimited
Shuge Unlimited
Jul 22, 2026 · R&D Management

Why Agents Guess Bugs and How Two Matt Pocock Skills Keep Debugging on Track

The article dissects Matt Pocock’s /tdd and /diagnosing-bugs skills, showing how explicit feedback signals, red‑capable commands and a six‑phase linear debugging flow prevent agents from guessing root causes and improve the reliability of AI‑assisted bug triage.

AI AgentsTest‑Driven Developmentdebugging workflow
0 likes · 20 min read
Why Agents Guess Bugs and How Two Matt Pocock Skills Keep Debugging on Track
Shuge Unlimited
Shuge Unlimited
Jul 20, 2026 · Artificial Intelligence

Practical grill‑me Guide: Let an AI Agent Fully Clarify Requirements Before Coding

This guide walks through the /grill-me and /grilling skills, explains their hierarchical design, demonstrates a complete export‑feature scenario, extracts five hard rules to prevent scope drift, shows how a shared‑understanding gate safeguards decisions, and advises when to use or avoid grill‑me in modern AI‑assisted development workflows.

AI AgentPromptSkill
0 likes · 23 min read
Practical grill‑me Guide: Let an AI Agent Fully Clarify Requirements Before Coding
Shuge Unlimited
Shuge Unlimited
Jul 19, 2026 · Databases

How Milvus 3.0 Queries External Lakehouse Files Without Copying Data

Milvus 3.0 introduces an External Collection that treats Parquet and other lakehouse files as a read‑only query view, detailing how external_source and external_spec are validated, how stable file lists are built, how the two‑stage refresh recomputes segment mappings, and how virtual primary keys and milvus‑table snapshots enable seamless querying without data duplication.

External CollectionLakehouseMilvus
0 likes · 17 min read
How Milvus 3.0 Queries External Lakehouse Files Without Copying Data
Shuge Unlimited
Shuge Unlimited
Jul 18, 2026 · Databases

Milvus 3.0 Snapshot: Pausing a Collection Without Copying Data

Milvus 3.0 introduces a lightweight Snapshot feature that creates a point‑in‑time, read‑only view of a collection by freezing metadata and segment manifests instead of copying data, and explains how restore, GC protection, and pin mechanisms work together to enable fast, safe rollbacks.

Copy SegmentGCMilvus
0 likes · 18 min read
Milvus 3.0 Snapshot: Pausing a Collection Without Copying Data
Shuge Unlimited
Shuge Unlimited
Jul 16, 2026 · Fundamentals

How 6 Skills from Matt Pocock Teach AI to Match Real Engineer Discipline

The article reviews Matt Pocock’s open‑source “Skills For Real Engineers” repository, explains the four common agent failure modes, details six concrete skills—writing‑great‑skills, codebase‑design, TDD, diagnosing‑bugs, improve‑codebase‑architecture, and prototype—along with their failure patterns, completion criteria, and immediately adoptable actions for teams.

AI codingAgent SkillsDebugging
0 likes · 21 min read
How 6 Skills from Matt Pocock Teach AI to Match Real Engineer Discipline
Shuge Unlimited
Shuge Unlimited
Jul 15, 2026 · Artificial Intelligence

Why Karpathy Says Vibe Coding Isn’t Dead and Software 3.0 Is Giving Rise to Agentic Engineering

The article analyzes Karpathy’s evolving view—from naming Vibe Coding in 2025, through his Software 3.0 paradigm, to the 2026 introduction of Agentic Engineering—explaining how these concepts differ, why they matter for AI‑driven software development, and what product teams should adjust as model capabilities mature.

AI programmingAgentic EngineeringKarpathy
0 likes · 16 min read
Why Karpathy Says Vibe Coding Isn’t Dead and Software 3.0 Is Giving Rise to Agentic Engineering
Shuge Unlimited
Shuge Unlimited
Jul 14, 2026 · Artificial Intelligence

Which AI Coding Tool Solves Control Loss and Forgetfulness: mattpocock/skills vs Trellis

The article compares two open‑source AI coding projects—mattpocock/skills and Trellis—examining how each addresses the twin challenges of losing control over generated code and AI agents forgetting project context, and provides a detailed six‑dimensional analysis to help developers choose the right solution.

AI codingTrelliscross‑platform
0 likes · 20 min read
Which AI Coding Tool Solves Control Loss and Forgetfulness: mattpocock/skills vs Trellis