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.
Team dynamics
121 posts
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.
The value of code review
Code reviews improve more than code quality. Done well, they shape better problem-solving, expose edge cases, and spread knowledge across teams. Learn how small, focused reviews and AI support help teams ship faster with confidence.
Your startup does not need more engineers, it needs fewer mistakes
Hiring to fix velocity often multiplies your problems. Reduce avoidable mistakes first: tighten decision-making, align product and engineering, and put foundations in place that make a small team dangerous in the right way.
How to pragmatically leverage AI as a startup
If you believe what you see on LinkedIn, startups don't need employees anymore, real founders just have agents building their companies. You write a prompt, fire off the agent, and wait for customers. In reality, you get a vague workflow that produces a mediocre demo at best.
Stereotypes: are these the biggest misconceptions about software engineers?
Outdated myths about developers—like “they hate meetings” or “only care about code”—create friction, missed context, and rework. Learn how to build healthier collaboration across engineering and product.
AI isn't optional anymore: Why developers without AI are falling behind
AI is not replacing developers, but it is replacing developers who refuse to use it. The real skill lies in how well you steer, validate, and challenge the model. Fundamentals matter, but today’s best engineers treat AI as an amplifier, not a crutch.