Courage as a service
AI is making the knowledge side of consulting cheaper by the day. Teams still avoid the legacy system. The gap is not expertise. It is the structural courage to act on what everyone already knows.
Team dynamics
Show me the way: engineering demo 101
Engineering demos fail when they present what was built instead of why it matters. A practical guide to leading with business impact, showing the happy path, and translating technical work into terms your audience actually uses.
Be a lobster
The processes that got you here will eventually constrain you. Like a lobster shedding its shell, scaling companies must periodically dismantle what worked intentionally, not in panic. Constraints aren’t a failure; they’re proof you’ve outgrown your current structure.
The disconnect between management and engineering
A mobile app, past its usefulness, was days from being phased out. One email reversed the decision. No discussion. No input from engineering. This is what happens when decision-making drifts too far from the work.
Hire for divers
The AI wave is here, and the industry is already splitting into two: those adapting fast and those falling behind. The gap is widening quickly.
The AI Agile Manifesto
Agile was supposed to free us from bureaucracy. Many teams just rebuilt it with better branding. Now, AI-driven development is forcing the uncomfortable question: Were we ever truly agile, or just managing slow feedback loops?
Why AI makes engineering teams smaller, but not simpler
AI is changing what small teams can ship, boilerplate gone, prototypes faster, experimentation cheaper. But lower costs of building don't mean lower costs of building the wrong thing. It just means you can do it faster.
AI didn't change the economics of software engineering
AI made writing code faster, but the real economics of software engineering were never about typing code in the first place.
A founder's commitment to their engineering team
Founders juggle endless demands, investors, sales, suppliers, and employees, all while building the plane mid-flight. But with engineering often being your biggest expense, there's one responsibility you can't delegate: ensuring your team builds the right thing.
Communicate or be micromanaged - the CTO edition
CTOs often come from engineering backgrounds and, particularly when newly promoted, tend to focus on what they know best, the technology. While this is understandable given their previous success, technology is rarely the hardest part of the CTO role.
The full-stack enigma
Early-stage startups want full-stack unicorns who can do it all on a tight budget, but asking one dev to wear every hat is less strategic hiring and more duct-taping a rocket and hoping for the best.
The CTO's guide to AI adoption strategy
AI adoption fails when treated as a tool rollout. This guide covers the decision framework, team dynamics, economics, and mistakes from 150+ technical audits.
A guide to vibe coding vs AI-assisted development
Vibe coding or AI-assisted development? The choice isn't binary, but getting it wrong at the wrong stage will cost you. This piece breaks down when to embrace speed over architecture, when to take back control, and why the best teams don't pick sides.
How to introduce AI coding agents into your engineering team
AI coding agents draft code, write tests, and open pull requests autonomously. This guide covers the tool landscape, readiness signals, a phased rollout plan, and the team dynamics that make or break adoption.
Communicate or be micromanaged - the engineering edition
Micromanagement rarely starts with bad intent. It usually starts with silence. When nobody knows what you are working on, meetings multiply, trust erodes, and focus disappears. This piece shows how clear, boring communication is your best defence.