Sitemap - 2025 - Refactoring
The Best of Refactoring in 2025 π
Weekly review, AI adoption, and brain modes π‘
Introducing our new brand! π¨
Everything as code, hotspots, and process notifications π‘
My Home Office Setup in 2025 πͺ
Reading books, Troika consulting, and the bus factor π‘
Lessons learned from 25 years in tech π
Behavioral signals, API tokens, and the last frameworks π‘
The State of AI Adoption in Engineering Teams π β with Matt McClernan
Minimum viable testing, good interviews, and growing engineers π‘
How to Build Product Development Teams π οΈ β with Rob Zuber
The AI Productivity Paradox πββοΈ
Good engineering, communication cadence, and cognitive biases π‘
What I am reading in 2025 (and how) π
Generative culture, engineering allocation, and creator CEOs π‘
The Engineer β Executive Translation Layer π
Manager quadrants, habit stages, and junior engineers π‘
From Knowledge to Wisdom π§ β with Hywel Carver
How to Manage Context in AI Coding π
Constraints, leading metrics, and local-first software π‘
How to Build AI into Tech Products π¨
Fixing bugs, team stages, and balancing acts π‘
The AI Transformation at Intercom π€ β with Darragh Curran
What does an elite team look like today? π₯
Space for innovation, continuous things, and scaling yourself π‘
Engineers are replacing IDEs with terminals π₯οΈ
Coding managers, types of context, and bad decisions π‘
Building Psychologically Safe Teams π‘οΈ β with Meg Adams
The State of AI Adoption in Engineering Teams π
Struggling teams, task forces, and testing in production π‘
Empowerment, job descriptions, and side projects π‘
AI Coding Workflows π οΈ β with Birgitta BΓΆckeler
Hiring junior engineers, scraping cheatsheet, and Rands on writing π‘
What's good for humans is good for AI β€οΈ
Normal people, infra decisions, and input vs output metrics π‘
How to Automate Team Processes β‘ β with Antonia Scheidel
Accelerate, successful teams, and destroying software π‘
How to Make Meetings Work πͺ
AI docs, coaching, and abstractions payoff π‘
Technical Debt is a Crime Scene π β with Adam Tornhill
How to Prioritize Tech Debt π¬
Your career, the manager's path, and interview tradeoffs π‘
How to Build a Product Engineering Culture πͺ΄
Self-healing APIs, metric mapping, and asset allocation π‘
Diversity, AI, and Junior Engineers π¨ β with Meri Williams
Images of leadership, IaC, and an in-person interview π‘
Survey: how do you use AI at work? π³οΈ (win $150!)
AI bottlenecks, translating impact, and systems thinking π‘
Thinking in Bets for Engineers π²β with Annie Duke
How to Help a Struggling Team π
Convergence, mobile fragmentation, brain systems, and intentional debt π‘
How to make your tech stack AI-friendly π
CARL, tech capital, and microservices π‘
My Favorite Ideas from LDX3 ποΈ
Complexity disclosure, top-down vibe coding, and taking notes π‘
Refactoring at Scale ποΈ β with Maude Lemaire
How Shopify Executes Editions π
Diversity, specific feedback, and performance axes π‘
Software ownership, removing controls, and tech simplification π‘
Building AI-Powered Podcast Learning π§ β with Kevin Smith
How AI is Changing Engineering Docs π
MCP challenges, atomic habits, platform teams vs central teams, and Accelerate capabilitiesπ‘
Engineering maturity, cloud vs on-prem, and CTOs π‘
The Future of Dev Tools π§ β with Dennis Pilarinos
How to Design APIs for an AI World π
TDD, performance reviews, and diagnostic metrics π‘
The Engineering Manager Archetypes π
Players, monorepos, and single-track careers π‘
How to Manage Humans π½ β with Rands
How Code Reviews are Changing with AI π
Confidence, agile values, and startup ideas π‘
Shifting from Tech Debt to Tech Capital π¦
Interruptions, skip levels, and good handbooks π‘
The Vercel Journey π§ β with Guillermo Rauch
Overnight successes, unlearnables, and heroic culturesπ‘
How to Master Behavioral Interviews π
Bad perks, connoisseurs, and good onboarding π‘
How to Integrate AI in the Dev Process πͺ β with Ori Keren
Managers, threat modeling, and hiring last π‘
Introducing the new Refactoring! π±
Potatoes, good taste, and 10x teams π‘
Measuring and Improving Developer Experience π β with Abi Noda
OKRs, docs, and high-quality code π‘
Cloud vs on-premise in 2025 π’
Relationships, feedback, and organizational cultures π‘
Open-source, complexity & AI coding π§ β with Salvatore "Antirez" Sanfilippo
The State of Web Data Collection Tools π·οΈ
Binstack, platform teams, and hierarchies π‘
The Refactoring Tech Radar for 2025 π‘
Context switch, prospect theory, and task-relevant maturity π‘
How to Coach CTOs π β with Joel Chippindale
You Have Metrics β Now What? π§
On shipping on time, side projects, and collecting web data π‘
How Engineering Teams are Using AI π€
Choosing paths, technical impact, and learning frameworks π‘
The Future of Creative Organizations βοΈ β with Dan Shipper
How to Interview Engineers π
Startups, E2E tests, and uncapped valueπ‘
Nailing your your Onboarding Developer Experience π
Accountability, TPMs, and good handbooksπ‘
Combining AI and Human Work π€ β with Marco Trombetti (Translated)
Hiring Principles for Engineering Teams β¨
Trust, bugs, and hiring EMs π‘
In Praise of "Normal" Engineers π οΈ
Niche stacks, code review horror stories, and design systemsπ‘
User-experience, local-first apps, and dev tools π§ β with Adam Wiggins (Heroku)
What's Next in Measuring Dev Productivity? π
Happiness, code quality, and delegation π‘
Conflict Resolution Strategies βοΈ
Culture types, sim racing, and engineering metrics π‘
Growing the Development Forest π² β with Martin Fowler
Creating a Platform Engineering Team π§±
Waterfalls, sunk costs, and talent density π‘
The Path to Engineering Maturity πΊοΈ
Testing in prod, engineering balance, and thinking fast and slow!π‘
Will AI Replace Engineers? π€

