R&D Management

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21CTO
21CTO
Sep 26, 2026 · R&D Management

How Schools Make You a Worse C++ Programmer: Bad Habits, Wrong Priorities

The author argues that schools teach harmful C++ habits like omitting braces, declaring variables at function tops, and skipping initialization, while overemphasizing rarely-used algorithms over real projects, delaying hands-on coding for years, and prioritizing theoretical coursework over skill-building projects like game clones that develop practical expertise.

AlgorithmsC++Code Quality
0 likes · 15 min read
How Schools Make You a Worse C++ Programmer: Bad Habits, Wrong Priorities
Data Bricklaying Diary
Data Bricklaying Diary
Sep 26, 2026 · R&D Management

Why Your Enterprise AI Sits Unused: From Deployment to Value Operations

This article analyzes why employees abandon enterprise AI tools after launch, presenting a three-level adoption framework and a six-barrier diagnostic table, then details practical steps—embedding AI in workflows, building verifiable trust, clarifying accountability, training for independent judgment, and tracking a metrics scorecard—to iteratively validate real productivity gains before scaling.

adoption barriersemployee trainingenterprise AI adoption
0 likes · 24 min read
Why Your Enterprise AI Sits Unused: From Deployment to Value Operations
Architects Research Society
Architects Research Society
Sep 25, 2026 · R&D Management

ArchHarness: Making Architecture Reviews Reproducible with Deterministic Gates & Provenance

ArchHarness is an open-source MIT-licensed tool that codifies the checkable half of architecture reviews — PASS/WARN/BLOCK gates, SHA-256 artifact provenance, and versioned contracts — into a deterministic CLI integrated with AI coding assistants and CI pipelines, supporting six cloud platform standards.

AI coding assistantsArchHarnessCI/CD
0 likes · 10 min read
ArchHarness: Making Architecture Reviews Reproducible with Deterministic Gates & Provenance
Digital Planet
Digital Planet
Sep 24, 2026 · R&D Management

Why Enterprises Must Evolve from Matrix to Mycelium Organizations in the AI Era

The article argues that AI's distributed cognitive power renders traditional matrix organizations obsolete, proposing a mycelium-inspired model with strong protocol-based cores, autonomous frontends, shared platforms, open ecosystems, and governance by rules rather than hierarchy, enabled by carbon-silicon symbiosis.

AI transformationOrganizational Designcarbon-silicon symbiosis
0 likes · 48 min read
Why Enterprises Must Evolve from Matrix to Mycelium Organizations in the AI Era
ITPUB
ITPUB
Sep 23, 2026 · R&D Management

Architecture Under Constraints: CTO Weng Yifei on Tech-Business-AI Trade-offs

In this interview, CTO Weng Yifei shares insights on making architecture decisions under resource constraints, contrasting big-tech and startup environments, managing technical debt, integrating AI responsibly, and building governance mechanisms for sustainable technology adoption. He emphasizes controlling complexity, establishing lightweight AI governance, evaluating true ROI beyond local efficiency, and designing auditability for probabilistic systems.

AI governanceROI evaluationTechnical Leadership
0 likes · 27 min read
Architecture Under Constraints: CTO Weng Yifei on Tech-Business-AI Trade-offs
Data Bricklaying Diary
Data Bricklaying Diary
Sep 23, 2026 · R&D Management

AI Empowers Senior Developers, But How Do Juniors Learn Engineering Judgment?

A veteran developer reflects on how AI tools like Cursor and Claude Code have shifted their workflow from coding to design and verification, boosting confidence, but worries that juniors who only prompt AI will miss the crucial learning process of debugging, understanding system boundaries, and developing judgment—especially when business pressures prioritize short-term efficiency over long-term talent development.

AI-assisted developmentSpecification-Driven DevelopmentVibe Coding
0 likes · 12 min read
AI Empowers Senior Developers, But How Do Juniors Learn Engineering Judgment?
AliExpress Tech
AliExpress Tech
Sep 23, 2026 · R&D Management

Taobao Overseas Tech's AI-Native R&D Shift: SDD, Agents & 85% AI Coding

Taobao and Tmall's overseas technology team shares their transition to an AI-native R&D paradigm using Specification-Driven Development (SDD) and Agent-driven collaboration via DingTalk groups, achieving 85% AI coding adoption and reducing end-to-end delivery cycles by 20-30% for medium-large requirements while maintaining quality baselines.

AI CodingAgent-driven developmentDingTalk
0 likes · 22 min read
Taobao Overseas Tech's AI-Native R&D Shift: SDD, Agents & 85% AI Coding
JD Tech Talk
JD Tech Talk
Sep 23, 2026 · R&D Management

JD Haibo's AI-Native Knowledge Base: 3-Layer Architecture, OKF Spec & 44% Faster Dev

JD Haibo built a three-layer AI knowledge base (project-domain matrix, role-specific views, executable skills) using the OKF specification, auto-generating structured docs from code, integrating with Harness for context-aware AI assistance, and validating via AB tests showing 44% faster requirement analysis with better coverage.

AI-NativeHarnessImpact Analysis
0 likes · 35 min read
JD Haibo's AI-Native Knowledge Base: 3-Layer Architecture, OKF Spec & 44% Faster Dev
Frontline Investigation
Frontline Investigation
Sep 21, 2026 · R&D Management

AI Code Passes Review But Loses Original Intent

This article examines how AI-assisted development accelerates code reviews while silently eroding the original business intent, arguing that teams must shift review focus from code correctness to preserving decision traceability, exception handling, and accountability through lightweight 'intent anchors' in pull requests.

AI-assisted developmentNIST SSDFcode review
0 likes · 11 min read
AI Code Passes Review But Loses Original Intent
FunTester
FunTester
Sep 21, 2026 · R&D Management

Technical Debt Economics: Principal, Interest, and Amortization for Engineering Teams

This article reframes technical debt as a financial instrument with principal, interest rates, and amortization schedules, providing a framework for engineering teams to quantify hidden costs, categorize debt types, maintain a shared debt ledger, and negotiate repayment plans with stakeholders to sustain delivery velocity.

Risk ManagementWard Cunninghamamortization
0 likes · 10 min read
Technical Debt Economics: Principal, Interest, and Amortization for Engineering Teams
dbaplus Community
dbaplus Community
Sep 21, 2026 · R&D Management

AI-Driven Large-Scale Refactoring: Qunar's 70% Efficiency Boost with Harness & Loop

Qunar shares its engineering methodology for AI-driven large-scale refactoring of a 150K-line high-concurrency core system, achieving 70% efficiency gains (100PD to 30PD), 70% latency reduction, and 45% resource savings through Harness-Loop constraints, task decomposition, shadow traffic validation, and phased rollout.

AI CodingEngineering MethodologyHarness-Loop
0 likes · 27 min read
AI-Driven Large-Scale Refactoring: Qunar's 70% Efficiency Boost with Harness & Loop
KooFE Frontend Team
KooFE Frontend Team
Sep 21, 2026 · R&D Management

AI Reshapes R&D: From Skill-Driven to Intent-Driven Paradigm

This article analyzes how AI transforms R&D from a skill-driven to an intent-driven paradigm, detailing four stages of AI autonomy, productivity gains in speed, quality, and throughput, organizational shifts toward end-to-end builders and agent layers, management evolution into system architects, and the emergence of Frontline Deployment Engineers (FDE) as frontend developers expand scope.

AI autonomy stagesAI-driven R&DFDE
0 likes · 14 min read
AI Reshapes R&D: From Skill-Driven to Intent-Driven Paradigm
Data Bricklaying Diary
Data Bricklaying Diary
Sep 21, 2026 · R&D Management

Ontology Review Exposes Governance Conflicts: Customer & Revenue Disputes

The article explains how ontology reviews surface business governance conflicts over definitions like 'customer' and 'revenue,' and provides a framework to distinguish identity, roles, granularity, facts, and rules; assign confirmation authority by domain, cross-domain, and management levels; implement decisions via versioned decision cards; and validate through concrete test cases rather than forced unification.

Ontologybusiness semanticscross-domain governance
0 likes · 22 min read
Ontology Review Exposes Governance Conflicts: Customer & Revenue Disputes
AI Large Model Application Practice
AI Large Model Application Practice
Sep 20, 2026 · R&D Management

AI Coding 5x Faster, Delivery Only 10% Quicker: The Enterprise Engineering Time Lag

The article analyzes why faster AI coding doesn't proportionally accelerate enterprise software delivery, identifying bottlenecks in requirements, context engineering, verification, and CI/CD, and proposes layered testing, knowledge management, and human-in-the-loop processes to align the entire pipeline with AI speed.

AI-assisted developmentCI/CD pipelinecontext engineering
0 likes · 20 min read
AI Coding 5x Faster, Delivery Only 10% Quicker: The Enterprise Engineering Time Lag
Frontline Investigation
Frontline Investigation
Sep 17, 2026 · R&D Management

AI Flowcharts Look Perfect—Why Collaboration Gets Messier

AI-generated flowcharts create polished visuals but often hide ambiguous handoffs, missing decision verbs, and unclear exception paths, leading teams to mistake visual connectivity for real collaboration clarity; the article urges distinguishing information, suggestions, and decisions on arrows while mapping task, judgment, and feedback layers to prevent offline rework.

AI-generated flowchartsNIST AI 600-1Responsibility Assignment
0 likes · 11 min read
AI Flowcharts Look Perfect—Why Collaboration Gets Messier
Data Bricklaying Diary
Data Bricklaying Diary
Sep 17, 2026 · R&D Management

Closing the Loop: AI-Native SDLC Feeds Production Reality Back to R&D

This article explains how AI-native SDLC transforms production incidents into continuous development feedback by using deterministic detection for anomalies, AI-assisted diagnosis for evidence gathering, risk-tiered automation paths, protected regression tests from failures, and multi-layer asset updates — all while keeping humans accountable for decisions and releases.

AI-assisted diagnosisAI-native SDLCR&D Management
0 likes · 12 min read
Closing the Loop: AI-Native SDLC Feeds Production Reality Back to R&D
Frontline Investigation
Frontline Investigation
Sep 17, 2026 · R&D Management

Why Expanding Knowledge Bases Make Outdated Answers More Convincing

This article explores why updated knowledge bases often still surface outdated answers, explaining how older content's completeness and familiarity outweigh newer, conditional rules, and argues for embedding version context, applicability conditions, and source traceability into AI-generated answers to maintain trustworthiness.

Knowledge BaseLLMNIST AI RMF
0 likes · 11 min read
Why Expanding Knowledge Bases Make Outdated Answers More Convincing
Linyb Geek Road
Linyb Geek Road
Sep 17, 2026 · R&D Management

Practicing AI Specs with OpenSpec and OpenCode: A Step-by-Step Tutorial

This tutorial demonstrates how to use OpenSpec and OpenCode for spec-driven AI-assisted development by building a fund real-time valuation desktop app with Tauri, covering project planning, UI design with Pencil, OpenSpec's three-phase workflow, and incremental feature implementation.

AI SpecsOpenCodeOpenSource Tools
0 likes · 18 min read
Practicing AI Specs with OpenSpec and OpenCode: A Step-by-Step Tutorial
Random Bulletin
Random Bulletin
Sep 16, 2026 · R&D Management

War Room at 10M QPS: Turning Chaos into Repeatable Incident Command

This article details how to evolve ad-hoc incident response into a standing war room mechanism for 10M QPS systems, covering six key roles, a full lifecycle with trigger/exit criteria, fixed 10-minute decision cadences, reversible mitigation constraints, evidence-linked tooling, and a three-phase rollout with drills and templates to build organizational muscle memory.

10M QPSReliability Engineeringhigh-scale systems
0 likes · 28 min read
War Room at 10M QPS: Turning Chaos into Repeatable Incident Command