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Lisa Notes
Lisa Notes
Apr 22, 2026 · R&D Management

IPD vs. IPD‑CMM: Key Differences and Shared Principles Explained

IPD is a market‑driven, cross‑functional product development framework that treats development as an investment decision, emphasizing portfolio analysis, asynchronous parallel engineering, reusable building blocks, and structured yet flexible processes, while IPD‑CMM extends this by embedding a V‑model software maturity approach with early‑stage test planning.

Cross‑Functional TeamsIPDPortfolio Management
0 likes · 5 min read
IPD vs. IPD‑CMM: Key Differences and Shared Principles Explained
Lisa Notes
Lisa Notes
Apr 21, 2026 · R&D Management

Why IPD Is More Than a Process: A Structured Management Framework for Market‑Driven Product Development

The article explains Integrated Product Development (IPD) as a market‑driven, cross‑functional management system that combines demand, market, and technology management with a structured four‑layer process, illustrated by IBM and Huawei case studies, to deliver high‑quality, low‑cost products efficiently.

Cross‑Functional TeamsIPDIntegrated Product Development
0 likes · 7 min read
Why IPD Is More Than a Process: A Structured Management Framework for Market‑Driven Product Development
Tencent Technical Engineering
Tencent Technical Engineering
Apr 20, 2026 · R&D Management

How AI Can Automate the Entire Software Delivery Pipeline from Requirement to Deployment

The article outlines a multi‑stage AI‑driven automation roadmap that extends from requirement gathering through technical solution generation, code creation, testing, and deployment, detailing challenges such as workflow standardization, knowledge‑base construction, skill reuse, and quality assurance, and presents concrete metrics showing up to 80% efficiency gains.

AI automationAI codingDevOps
0 likes · 16 min read
How AI Can Automate the Entire Software Delivery Pipeline from Requirement to Deployment
phodal
phodal
Apr 20, 2026 · R&D Management

How to Reconstruct Feature Evolution from AI‑Generated Sessions with a Feature Explorer

The article analyzes how rapid AI‑assisted coding accelerates development cycles, creates scattered implementation details in session histories, and proposes a Feature Explorer that re‑assembles these histories into a coherent, spec‑driven view of a feature’s evolution for better product‑level insight.

AI codingFeature ExplorerRouta
0 likes · 11 min read
How to Reconstruct Feature Evolution from AI‑Generated Sessions with a Feature Explorer
Java Tech Enthusiast
Java Tech Enthusiast
Apr 18, 2026 · R&D Management

When a CTO Becomes a Disaster: Hard Lessons on Bad Technical Leadership

A former employee recounts how a newly hired CTO’s reckless tech mandates, unrealistic performance targets, and management gimmicks crippled the company's systems, inflated incident rates, and ultimately forced his departure, offering concrete warning signs for identifying unreliable technical leaders.

CTOR&D Managementarchitecture decisions
0 likes · 8 min read
When a CTO Becomes a Disaster: Hard Lessons on Bad Technical Leadership
Lisa Notes
Lisa Notes
Apr 18, 2026 · R&D Management

Why Huawei Adopted IBM’s IPD Model for R&D Management

The article examines how Huawei, facing high R&D waste, long cycles and declining margins, looked to IBM’s turnaround under Gerstner and its Integrated Product Development (IPD) framework as a blueprint to build a systematic, efficient R&D system for long‑term products.

HuaweiIBMIPD
0 likes · 7 min read
Why Huawei Adopted IBM’s IPD Model for R&D Management
Lisa Notes
Lisa Notes
Apr 16, 2026 · R&D Management

Project Management Pitfalls: The Two Most Common Issues and How to Fix Them

The article examines two frequent project‑management problems—ever‑changing requirements and internal team friction—illustrates each with real‑world cases, and shows how strict change‑control procedures and daily stand‑ups can cut informal requests by 50% and double iteration speed.

Project Managementchange controldaily standup
0 likes · 4 min read
Project Management Pitfalls: The Two Most Common Issues and How to Fix Them
phodal
phodal
Apr 14, 2026 · R&D Management

How Multi‑Agent AI Redefines Development: The Harness‑Powered Routa Workbench

Routa demonstrates how combining a Harness‑style engineering framework, AI‑driven Coding Agents, and a Kanban‑based task protocol can transform software development into an automated, collaborative workbench, redefining the Definition of Done, enforcing quality gates, and orchestrating multi‑agent handoffs across the entire lifecycle.

AI agentsKanbanR&D automation
0 likes · 12 min read
How Multi‑Agent AI Redefines Development: The Harness‑Powered Routa Workbench
NiuNiu MaTe
NiuNiu MaTe
Apr 13, 2026 · R&D Management

What Really Happens When You Use Superpowers to Build a Multi‑File PDF Merger?

The author walks through using the Superpowers AI‑driven workflow to create a multi‑file PDF merging web tool, exposing three major pitfalls—design docs that don’t guarantee functional output, AI skipping prescribed steps, and the slow, over‑engineered Subagent mode—while offering practical guidance to enforce a strict step‑by‑step process and choose the right execution mode for small projects.

PDF mergingSubagent modeSuperpowers
0 likes · 7 min read
What Really Happens When You Use Superpowers to Build a Multi‑File PDF Merger?
DevOps in Software Development
DevOps in Software Development
Apr 12, 2026 · R&D Management

From Broken Go Microservices to a High‑Performance DevOps Culture: A Tech Director’s Playbook

A former tech director recounts how he rescued a fragile Go micro‑service system, rebuilt the product with a lean four‑person team, introduced DevOps practices, and later pioneered digital‑learning tools and AI experiments, illustrating practical leadership, engineering efficiency, and product‑centric transformation.

DevOpsEngineering EfficiencyProduct Development
0 likes · 14 min read
From Broken Go Microservices to a High‑Performance DevOps Culture: A Tech Director’s Playbook
Tech Verticals & Horizontals
Tech Verticals & Horizontals
Apr 11, 2026 · R&D Management

Enterprise Workflow: Superpowers + OpenSpec Three‑Stage Process for Deliverable Results

The article presents a practical three‑stage workflow that combines Superpowers for exploratory planning with OpenSpec for formal specification, then returns to Superpowers for controlled implementation, testing, and archiving, helping teams eliminate vague requirements, reduce rework, and achieve traceable, on‑time deliveries.

OpenSpecSuperpowersrequirement management
0 likes · 13 min read
Enterprise Workflow: Superpowers + OpenSpec Three‑Stage Process for Deliverable Results
Wukong Talks Architecture
Wukong Talks Architecture
Apr 10, 2026 · R&D Management

How GStack Turns One Developer into a Full‑Scale Software Team

GStack, an open‑source AI‑driven virtual software factory created by Y Combinator CEO Garry Tan, transforms Claude Code into a role‑based development team, offering 30+ slash commands that automate the entire product lifecycle—from requirement gathering to release—enabling a single developer to achieve the productivity of a twenty‑person team.

Claude CodeOpen Sourcegstack
0 likes · 13 min read
How GStack Turns One Developer into a Full‑Scale Software Team
Tech Verticals & Horizontals
Tech Verticals & Horizontals
Apr 10, 2026 · R&D Management

Enterprise AI Team Development Guide: Tiered Process to Balance Speed and Quality

This guide introduces a tiered workflow for AI development teams—layered reading, graded intervention, and six ready‑to‑use AGENTS.md templates—mapping project types and demand sizes to lightweight, standard, or strict processes, enabling fast handling of simple tasks while ensuring stability for complex work.

AI developmentCodexOpenSpec
0 likes · 11 min read
Enterprise AI Team Development Guide: Tiered Process to Balance Speed and Quality
phodal
phodal
Apr 9, 2026 · R&D Management

Why “Gate First” Is the Key to Reliable Multi‑Agent Workflows

The article explains how the Gate First principle in Routa separates task completion, evidence verification, and session boundaries, ensuring that each agent receives a structured, consumable state instead of just a final output, thereby reducing rework and preserving failure reasons for future iterations.

AI agentsRoutaevidence management
0 likes · 10 min read
Why “Gate First” Is the Key to Reliable Multi‑Agent Workflows
phodal
phodal
Apr 8, 2026 · R&D Management

How to Turn a Decade of Writing into a Reusable AI Skill

The author explains how, after ten years of writing, they analyzed their own articles, extracted evolving stylistic patterns, and engineered a modular, reusable writing skill—/phodal-writer/—that can be repeatedly loaded by AI to produce consistently structured, paced, and judgment‑rich content.

AI writingKnowledge Engineeringcontent generation
0 likes · 14 min read
How to Turn a Decade of Writing into a Reusable AI Skill
AI Programming Lab
AI Programming Lab
Apr 7, 2026 · R&D Management

How I Built a One‑Stop Content Creation Engine with Claude Code and Obsidian

The author describes a step‑by‑step workflow that combines Claude Code and Obsidian—using Canvas for topic planning, defuddle for research, a Git‑backed vault for version control, Base views for article tracking, and custom Skills for drafting—to dramatically cut research time, avoid duplicate content, and create a self‑reinforcing knowledge base.

AI writingClaude CodeObsidian
0 likes · 10 min read
How I Built a One‑Stop Content Creation Engine with Claude Code and Obsidian
Architecture Breakthrough
Architecture Breakthrough
Apr 7, 2026 · R&D Management

How to Build an IT Flywheel that Keeps Your R&D Team Winning

The article explains how grassroots R&D teams can create a systematic, self‑running IT flywheel that amplifies high‑quality, high‑efficiency delivery, aligns technical work with business KPIs, and uses SOPs to add acceleration, ultimately turning passive execution into proactive value creation.

IT FlywheelR&D ManagementSOP
0 likes · 8 min read
How to Build an IT Flywheel that Keeps Your R&D Team Winning