CTO

The CTO as prisoner

CTOs who built their company's survival by doing everything can't escape that role by scheduling a holiday. Moving from doing to enabling is a skill and identity shift at once. One thing handed off permanently is where the exit starts.

The artificial Turk and our role as software experts

We smile at the 18th-century crowd for being swept up by a box with a man inside, yet today it's easy to hand ChatGPT a vague idea and treat the PRD it returns as gospel. Generative AI is genuinely powerful. We get the best from it when we bring both enthusiasm and a critical eye.

Conductor: running multiple AI coding agents in parallel

Conductor by Melty Labs makes parallel agent workflows practical by running multiple agents with separate tasks simultaneously. The trade-offs are real but manageable, and this is where development is heading.

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.

The unbundling of engineering value (Part 2)

AI won't make software engineers redundant. It will expose what engineering was always supposed to be about: understanding systems, not just writing code.

The unbundling of engineering value (Part 1)

Here's part one of a post I shared with our team on the radical change and evolution of our jobs. AI won't make software engineers redundant. It will expose what engineering was always supposed to be about: understanding systems, not just writing code.

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 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.

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.

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.

Why front-end rewrites are more common than refactors

Why do engineering teams keep rewriting frontends? Let’s explore the leadership bias and tech churn that makes refactors feel harder—yet ultimately more sustainable.

When don't you need a fractional CTO

Does every startup need an interim CTO? Fractional CTOs can accelerate growth and solve complex challenges—when brought in at the right time. Learn when it’s too early, too risky, or simply not the right fit for your business.

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