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Shuge Unlimited
Shuge Unlimited
May 10, 2026 · R&D Management

OpenSpec Best Practices: Three Labs Validate Five Quality Upgrades with Clear Results

The article walks through three hands‑on labs—bare‑run, adding Rules + Explore + Validate, and customizing the schema with a Review artifact—to experimentally verify five quality‑upgrade directions for OpenSpec, comparing outputs, task granularity, rollback plans, testing coverage, and offering practical recommendations.

AI programmingOpenSpeccode generation
0 likes · 27 min read
OpenSpec Best Practices: Three Labs Validate Five Quality Upgrades with Clear Results
Smart Workplace Lab
Smart Workplace Lab
May 9, 2026 · R&D Management

How Middle Managers Can Survive AI Disruption: Leveraging Exception Management

The article analyzes why middle managers lose relevance when AI automates routine tasks, redefines their role as interfaces for standards and exceptions, and presents a three‑step lever‑control framework—including a task‑allocation matrix, automation rules, and an exception‑interception checklist—to restore strategic impact.

AIException HandlingManagement Levers
0 likes · 7 min read
How Middle Managers Can Survive AI Disruption: Leveraging Exception Management
21CTO
21CTO
May 9, 2026 · R&D Management

Stop Obsessing Over Tech: 30 Years at IBM Shows Why CIOs Need More Than Mastery

The article argues that technical brilliance alone won’t propel a technologist to the CIO role; instead, mastering management, earning company-wide trust, and communicating business value are essential, and it outlines three concrete capabilities and a career path to achieve them.

CIOIT StrategyLeadership
0 likes · 7 min read
Stop Obsessing Over Tech: 30 Years at IBM Shows Why CIOs Need More Than Mastery
FunTester
FunTester
May 8, 2026 · R&D Management

Software 3.0 Arrives, Yet the Real Bottleneck Persists Downstream

Although AI coding tools dramatically accelerate code generation, the true delivery bottleneck has moved from writing code to downstream stages like review, testing, integration, and stability verification, requiring teams to redesign processes, invest in architecture, and manage AI agents effectively.

AI codingAgent-based developmentDevOps
0 likes · 11 min read
Software 3.0 Arrives, Yet the Real Bottleneck Persists Downstream
Lisa Notes
Lisa Notes
May 8, 2026 · R&D Management

Lessons in Scope Management for an Information System Project

The article recounts a real‑world eight‑month, 8.94‑million‑yuan smart‑device project for an operator, detailing how the project manager applied scope‑management planning, requirement collection, WBS creation, and change control to overcome hardware, resource, and certification challenges and deliver the product on schedule.

HardwareProject ManagementRisk Management
0 likes · 12 min read
Lessons in Scope Management for an Information System Project
Meituan Technology Team
Meituan Technology Team
May 7, 2026 · R&D Management

Managing AI‑Generated Code with Agent‑Based Evaluation: Refactoring 310K Lines of Code

When over 90% of a codebase is produced by AI, system quality hinges on constraining AI rather than speed, and this article details how a team used an agent‑based evaluation framework, unified standards, and incremental refactoring to turn 310,000 lines of AI‑written code into a maintainable, low‑debt system.

AI codingAI governanceAgent Evaluation
0 likes · 21 min read
Managing AI‑Generated Code with Agent‑Based Evaluation: Refactoring 310K Lines of Code
ITPUB
ITPUB
May 7, 2026 · R&D Management

How a 35‑Year‑Old Engineer Built a Technical Management Career in IT

The author recounts a 16‑year IT journey—from unproductive early jobs and frequent moves, through a pivotal switch to a major internet firm, to successive roles as tech lead, manager, and backend head—highlighting the challenges, decisions, and lessons that shaped a successful technical leadership path.

JavaSystem ArchitectureTechnical Management
0 likes · 23 min read
How a 35‑Year‑Old Engineer Built a Technical Management Career in IT
21CTO
21CTO
May 6, 2026 · R&D Management

Why Zig Bans LLM Contributions and Puts People Over Code

Zig enforces one of the strictest anti‑LLM policies in open‑source, prohibiting AI‑generated code in PRs, issues, and bug‑tracker comments, to focus on nurturing trusted contributors rather than merely accepting code, a stance illustrated by its impact on projects like Bun and its migration to Codeberg.

Bun runtimeCodeberg migrationLLM policy
0 likes · 6 min read
Why Zig Bans LLM Contributions and Puts People Over Code
DevOps in Software Development
DevOps in Software Development
May 5, 2026 · R&D Management

Federal-Style Military Software Factory: A 2026 Guide to Group‑Institute‑Department Architecture

The article outlines a three‑stage maturity model for software factories, explains the federal architecture adopted by the U.S. military, defines the distinct responsibilities of the group, institute and department layers, details mandatory interface contracts, and provides a step‑by‑step evolution roadmap for 2026 military‑grade software development.

DevSecOpsGovernancearchitecture
0 likes · 26 min read
Federal-Style Military Software Factory: A 2026 Guide to Group‑Institute‑Department Architecture
AI Step-by-Step
AI Step-by-Step
May 4, 2026 · R&D Management

How to Give AI Coding Agents a Global Constitution

The article explains why teams using multiple AI coding agents need a top‑level CONSTITUTION.md to capture stable engineering principles, decision hierarchy, autonomy boundaries, quality gates, and revision processes, and shows how to structure, write, and propagate it across tool‑specific files.

AI agentsCONSTITUTION.mdR&D Management
0 likes · 16 min read
How to Give AI Coding Agents a Global Constitution
Frontend AI Walk
Frontend AI Walk
May 2, 2026 · R&D Management

Build a No‑Code Personal Work Log with Claude Code, Obsidian, and Markdown in 30 Minutes

This guide shows how to create a fully Markdown‑based personal work‑log system using Claude Code and Obsidian, enabling one‑minute daily natural‑language entries that the AI automatically classifies, tags, and archives, and generates a formatted Chinese weekly report in seconds without any database or server.

AI automationClaude CodeMarkdown
0 likes · 13 min read
Build a No‑Code Personal Work Log with Claude Code, Obsidian, and Markdown in 30 Minutes
ZhiKe AI
ZhiKe AI
Apr 30, 2026 · R&D Management

Why Martin Fowler Says Determinism Is Over in Software Engineering

Martin Fowler argues that software engineering has moved from a deterministic world to a nondeterministic one driven by LLMs, outlining how this paradigm shift reshapes development practices, introduces new risks, and demands a harness‑based engineering approach to manage uncertainty.

AI EngineeringHarness EngineeringMartin Fowler
0 likes · 15 min read
Why Martin Fowler Says Determinism Is Over in Software Engineering
Yunqi AI+
Yunqi AI+
Apr 29, 2026 · R&D Management

How to Reverse Engineer Legacy Systems for Reliable AI Coding

The article outlines a systematic reverse‑engineering process for legacy systems that extracts factual system knowledge, organizes it into AI‑consumable context, and integrates the workflow into a continuous delivery loop to improve AI draft accuracy and team cognition.

AI codingReverse EngineeringSoftware Architecture
0 likes · 14 min read
How to Reverse Engineer Legacy Systems for Reliable AI Coding
Smart Workplace Lab
Smart Workplace Lab
Apr 25, 2026 · R&D Management

How to Align AI Project Expectations When Your Boss Gives Blind Directions

The article recounts a failed AI demo rollout caused by unrealistic boss expectations, then outlines a practical expectation‑management framework—including a capability radar, a weekly gray‑testing roadmap, and tailored communication scripts—to keep AI projects controllable and aligned with business realities.

AI project managementcapability radarexpectation alignment
0 likes · 6 min read
How to Align AI Project Expectations When Your Boss Gives Blind Directions
Tech Architecture Stories
Tech Architecture Stories
Apr 23, 2026 · R&D Management

How I Built My Own Local LLM Wiki Inspired by Karpathy’s Idea

The article details a five‑layer architecture for a sustainable local knowledge vault—Inbox, Raw Sources, Extracted Text, Distilled, and Archive—explaining each layer’s purpose, the import workflow from tools like Evernote, and the supporting Python scripts that automate ingestion, extraction, and governance.

AI automationLLM WikiObsidian
0 likes · 14 min read
How I Built My Own Local LLM Wiki Inspired by Karpathy’s Idea
Architecture Breakthrough
Architecture Breakthrough
Apr 23, 2026 · R&D Management

Zero-Defect Code Review: A 7‑Step SOP Backed by Two Years of No‑Issue Experience

The article outlines a practical 7‑step code‑review SOP that leverages IDE static analysis, AI assistance, impact analysis, unit‑test validation, production data checks, non‑functional evaluations, and business‑exception safeguards, enabling banking‑IT teams to achieve two years of zero production incidents.

Code ReviewProcess ImprovementSOP
0 likes · 8 min read
Zero-Defect Code Review: A 7‑Step SOP Backed by Two Years of No‑Issue Experience
Qborfy AI
Qborfy AI
Apr 22, 2026 · R&D Management

Boost Code Quality with a Devil‑Style Review Loop and Spec‑Kit

This article walks through a six‑step, AI‑augmented review‑driven development workflow—using Spec‑Kit commands, devil‑style iterative reviews, and TDD—to turn a simple "user login failure lock" requirement into a robust, well‑tested implementation while catching design flaws early.

SDDSpec KitTDD
0 likes · 16 min read
Boost Code Quality with a Devil‑Style Review Loop and Spec‑Kit