Continuous Delivery 2.0
Author

Continuous Delivery 2.0

Tech and case studies on organizational management, team management, and engineering efficiency

414
Articles
0
Likes
2.2k
Views
0
Comments
Recent Articles

Latest from Continuous Delivery 2.0

100 recent articles max
Continuous Delivery 2.0
Continuous Delivery 2.0
Sep 3, 2026 · R&D Management

AI Writes Code But Misses the Point: Why Unwritten Rules Make or Break AI Assistance

This article explores why AI-generated code often feels like a construction site—functional but lacking architectural foresight—and argues that AI's effectiveness depends entirely on how well teams codify their unwritten rules, context, and standards, likening AI to a legendary horse that only excels under a skilled rider.

AI-assisted developmentR&D managementSoftware Architecture
0 likes · 11 min read
AI Writes Code But Misses the Point: Why Unwritten Rules Make or Break AI Assistance
Continuous Delivery 2.0
Continuous Delivery 2.0
Aug 28, 2026 · R&D Management

7 Counter-Intuitive Engineering Principles for the AI Agent Era

The article outlines seven counter-intuitive principles for maintaining code quality when using AI coding agents, arguing that faster AI generation demands stronger engineering discipline, automated quality gates over long prompts, context isolation via short-lived agents, human-defined architecture boundaries, iterative development over detailed planning, junior developers mastering fundamentals before directing agents, and adapting principle thresholds to AI workflows.

AI AgentsCRAP analysisContext Management
0 likes · 10 min read
7 Counter-Intuitive Engineering Principles for the AI Agent Era
Continuous Delivery 2.0
Continuous Delivery 2.0
Aug 27, 2026 · Fundamentals

Six AI Coding Failure Modes and How to Fix Them: Be the Strategic Commander

Matt Pocock identifies six failure modes in AI-assisted programming — misaligned intent, verbose but unclear output, unrunnable code, shallow module proliferation, cognitive overload, and disinvestment in system design — and prescribes strategic remedies like Grill Me questioning, ubiquitous language glossaries, TDD feedback loops, deep module design, interface-first delegation, and daily design investment to keep AI as a tactical executor under human strategic command.

AI codingDDDGrill Me
0 likes · 9 min read
Six AI Coding Failure Modes and How to Fix Them: Be the Strategic Commander
Continuous Delivery 2.0
Continuous Delivery 2.0
Aug 26, 2026 · R&D Management

Uncle Bob's AI Coding Pipeline: 5-Agent Gauntlet & Architecture Governance

Uncle Bob proposes a 5-agent Gauntlet pipeline (Specifier, Coder, Cleaner, Hardener, QA) with context isolation, externalized rules, recalibrated thresholds, and human oversight of architecture boundaries, enabling small-step iterations where agents prove correctness via mutation testing and CRAP metrics while humans govern module dependencies and review evidence packages.

AI-assisted codingArchitecture GovernanceCRAP metric
0 likes · 8 min read
Uncle Bob's AI Coding Pipeline: 5-Agent Gauntlet & Architecture Governance
Continuous Delivery 2.0
Continuous Delivery 2.0
Aug 25, 2026 · R&D Management

Why Hiring Right Beats Training: The Hard Truth About Adult Mindsets

The article argues that adult mindsets, responsibility, and work standards are deeply ingrained and nearly impossible to change through training; training only teaches skills and processes, while real value lies in unteachable traits, so rigorous upfront selection and early rejection of mismatches save far more time than post-hire coaching.

hiringleadershipmanagement
0 likes · 6 min read
Why Hiring Right Beats Training: The Hard Truth About Adult Mindsets
Continuous Delivery 2.0
Continuous Delivery 2.0
Aug 21, 2026 · Fundamentals

AI Is Writing Code at Lightning Speed—Should We Still Enforce TDD? Classic Software Engineering Remains the Moat

The article argues that while AI can generate code rapidly, it amplifies bad code and technical debt, so solid fundamentals, architecture, and disciplined practices like TDD—applied judiciously—remain essential for maintainable software, with four typical AI coding failures and three practical collaboration models outlined.

AIArchitectureDesign
0 likes · 7 min read
AI Is Writing Code at Lightning Speed—Should We Still Enforce TDD? Classic Software Engineering Remains the Moat
Continuous Delivery 2.0
Continuous Delivery 2.0
Aug 19, 2026 · Industry Insights

Why Middle Managers Block AI‑Driven Change at 360: Insights from Zhou Hongyi’s Letter

The article analyzes Zhou Hongyi’s internal memo to 360’s managers, showing that resistance to AI‑driven transformation typically comes from middle managers who fear loss of power, and proposes concrete steps—assessment metrics, new roles, and direct reporting—to turn them into change engines.

AI adoptionOrganizational Changeleadership
0 likes · 8 min read
Why Middle Managers Block AI‑Driven Change at 360: Insights from Zhou Hongyi’s Letter