BestHub
Sign in

R&D Management

Showing 100 articles max
Latest Popular
samdeepthink
samdeepthink
Aug 20, 2026 · R&D Management

Why Effective Programmers Aren’t Robots: Emphasizing Output Over Busywork

The author explains how a three‑year partnership with the CTO created a tech team that follows a clear rhythm, focuses on delivering quarterly and monthly commitments, values execution over endless tasks, and demonstrates that true programmer productivity comes from effectiveness, not constant busyness.

efficiencyprogrammer productivitysoftware engineering management
0 likes · 5 min read
Why Effective Programmers Aren’t Robots: Emphasizing Output Over Busywork
Woodpecker Software Testing
Woodpecker Software Testing
Aug 20, 2026 · R&D Management

From 42% to 89%: A SaaS Team’s 10‑Month Journey to Higher Test Coverage and 40% Faster Releases

Over ten months, the testing team at a financial‑grade SaaS company transformed its approach from chasing coverage numbers to a resilience‑oriented metric, raising critical module unit‑test coverage from 42% to 89%, achieving 99.6% integration‑test pass rate, and shortening release cycles by 40% through code decoupling, contract‑driven development, a three‑dimensional coverage health dashboard, and treating tests as living specifications.

CI/CDcontract‑driven developmentquality engineering
0 likes · 8 min read
From 42% to 89%: A SaaS Team’s 10‑Month Journey to Higher Test Coverage and 40% Faster Releases
Architect
Architect
Aug 19, 2026 · R&D Management

Pi vs OpenCode vs DSH: Where Does the Harness Put the Complexity?

A recent Agent Harness test comparing Pi, OpenCode, and DSH shows Pi completing 20 of 30 tasks at $0.028 per task versus OpenCode's 14 tasks at $0.195, while the article analyzes how each system distributes complexity, handles extensions, server boundaries, and runtime composability, highlighting trade‑offs for real‑world migrations.

Agent ArchitectureDSHExtension
0 likes · 18 min read
Pi vs OpenCode vs DSH: Where Does the Harness Put the Complexity?
Lisa Notes
Lisa Notes
Aug 19, 2026 · R&D Management

IPD Study Notes: How to Refine Project Plans in R&D

The article explains IPD’s origins from the PACE theory, outlines its six‑stage process with business‑focused decision reviews, and details how increasingly detailed project plans—big, medium, and small—reduce uncertainty and keep projects on track.

IPDR&D Managementdecision review
0 likes · 4 min read
IPD Study Notes: How to Refine Project Plans in R&D
Tencent Cloud Developer
Tencent Cloud Developer
Aug 19, 2026 · R&D Management

Exploring a New AI‑Coding‑Driven Paradigm for R&D Project Management

The article analyzes how AI‑assisted coding dramatically improves individual developer productivity yet leaves end‑to‑end delivery speed unchanged, breaks delivery time into value‑creation and organizational‑friction components, proposes a four‑step efficiency‑governance framework, defines new PM skills, and reports concrete results from the Tencent Health project where median cycle time fell from 19 to 9 days and long‑tail demands dropped from 35% to 7%.

AI codingData‑Driven PMEfficiency Governance
0 likes · 14 min read
Exploring a New AI‑Coding‑Driven Paradigm for R&D Project Management
Lisa Notes
Lisa Notes
Aug 18, 2026 · R&D Management

IPD Study Notes: The Basic Procedure for Planning in R&D Project Management

This article explains the origins of Integrated Product Development (IPD), outlines its six-stage process with business‑focused decision review points, and details the basic procedure for creating a project plan that meets those criteria.

IPDIntegrated Product DevelopmentProduct Lifecycle
0 likes · 3 min read
IPD Study Notes: The Basic Procedure for Planning in R&D Project Management
Tencent Technical Engineering
Tencent Technical Engineering
Aug 18, 2026 · R&D Management

Never Repeat a Mistake: TencentDB Agent Memory Raises Completion from 60% to 80%

With AI agents expanding individual productivity, the authors identify a bottleneck in collaborative bandwidth and propose a three‑layer AI organization model implemented as TencentDB Agent Memory, which structures team knowledge into four asset types, validates them through extensive session analysis, and demonstrates a rise in task completion from 60% to 80% on SWE‑bench benchmarks.

AI agentsSWE-benchcollaboration bandwidth
0 likes · 39 min read
Never Repeat a Mistake: TencentDB Agent Memory Raises Completion from 60% to 80%
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Aug 17, 2026 · R&D Management

How to Effectively Answer Reviewer Concerns About Method Complexity and Computational Overhead

The article outlines why vague claims like "the performance gain justifies the cost" fail to satisfy reviewers, and provides a structured rebuttal framework that details the source, magnitude, and controllability of extra computational overhead, supported by concrete examples and metrics.

academic writingcomputational costmethod complexity
0 likes · 6 min read
How to Effectively Answer Reviewer Concerns About Method Complexity and Computational Overhead
DeepNoMind
DeepNoMind
Aug 16, 2026 · R&D Management

Why Early Teams Need Great Engineers, Not More Management

The article argues that seed‑ and Series‑A engineering teams should stop adding management processes and instead focus on hiring self‑driven engineers, keeping communication lightweight, protecting deep‑work time, and only introducing formal structures when the team grows beyond 20 members.

Engineering ManagementR&D Managementearly-stage startups
0 likes · 14 min read
Why Early Teams Need Great Engineers, Not More Management
Lisa Notes
Lisa Notes
Aug 16, 2026 · R&D Management

IPD Study Note: How Many Project Plans Should You Create in R&D Management?

The article explains IPD’s origins in PACE theory, outlines its six‑stage process with business‑focused decision gates, and advises new project managers to avoid overloading a single master plan by breaking work into small tasks and assembling sub‑plans with modern software tools.

IPDIntegrated Product DevelopmentPACE theory
0 likes · 3 min read
IPD Study Note: How Many Project Plans Should You Create in R&D Management?
Lisa Notes
Lisa Notes
Aug 15, 2026 · R&D Management

IPD Study Notes: Crafting the Project Plan in Integrated Product Development

The article explains how Integrated Product Development (IPD), derived from the PACE theory and refined by IBM, structures product development into six phases with business‑focused decision reviews, and details why a comprehensive project plan—covering phases, tasks, resources, risks, deliverables, and coordination—is essential for cross‑functional R&D teams.

Cross-functional TeamsIPDIntegrated Product Development
0 likes · 5 min read
IPD Study Notes: Crafting the Project Plan in Integrated Product Development
IT Services Circle
IT Services Circle
Aug 14, 2026 · R&D Management

Why a 60k‑CNY Engineer Refused Overtime and Clashed with His Manager

A company hired a top engineer with a 60,000 CNY monthly salary, only to see him refuse any overtime and quickly fall into conflict with his supervisor, sparking a deeper analysis of whether high pay should buy extra work hours or just professional output.

R&D Managementemployee productivityhigh salary
0 likes · 9 min read
Why a 60k‑CNY Engineer Refused Overtime and Clashed with His Manager
YiSu Grain
YiSu Grain
Aug 14, 2026 · R&D Management

Day57: How to Extract Scoring Points from Case Questions and Define Quality‑Attribute Scenarios

This guide teaches architects a three‑pass reading method, how to identify quality‑attribute requirements from case statements, build six‑element scenarios, and craft complete, scored answers for exam‑style architecture problems, using a regional medical registration platform example.

Software Architecturecase analysisdesign methodology
0 likes · 24 min read
Day57: How to Extract Scoring Points from Case Questions and Define Quality‑Attribute Scenarios
DaTaobao Tech
DaTaobao Tech
Aug 14, 2026 · R&D Management

Rethinking Collaboration: Insights on Building AI‑Native Teams

The article argues that AI‑driven efficiency gains are limited by fragmented collaboration, proposes a three‑layer "knowledge base + Agent + human" model to replace humans as the sole orchestrators, and details the practical challenges of constructing such knowledge bases in legacy businesses.

AIAI-nativeAgent
0 likes · 20 min read
Rethinking Collaboration: Insights on Building AI‑Native Teams
iQIYI Technical Product Team
iQIYI Technical Product Team
Aug 13, 2026 · R&D Management

Event‑Driven Development Automation: Turning Local Git Actions into Cross‑System Collaboration

This article describes how the SKILL framework captures native development events such as branch creation, commits, pushes, and merges, persists key task context, and automatically orchestrates actions across PMS, Lark, GitLab, CI/CD, PaaS and release‑management systems, dramatically reducing manual hand‑offs and cycle time.

AIAutomationCI/CD
0 likes · 18 min read
Event‑Driven Development Automation: Turning Local Git Actions into Cross‑System Collaboration