Eleven pull requests shipped to our main branch last month after being reviewed by an agent. That sounds riskier than it is, and the agentic part isn’t even what I find interesting about it.
There is a version of the AI and engineering conversation that is pure hype, and a version that is pure caution. I am trying to live in neither. We use AI heavily at Voyfai, and over the last few months I have automated almost the entire path from a problem in production to a pull request that fixes it. A human still approves and merges at the end. Last week we merged our first fully autonomous…
As AI tools make it effortless to generate software, we’re entering an era where app creation is no longer a craft — it’s a prompt. This piece explores how mass generation is flattening quality, echoing what happened in music and content, and why the future of software might be less about code and more about taste, ethics, and intent.
Social media platforms don’t just reflect identity — they shape it. As digital tools blur the boundaries between our social spheres, they become both environments and actors in the construction of the self. Understanding them requires not just technical skill, but cultural and social awareness.
In this new era of prompted realities, the question isn’t just what we can do with AI — it’s what we’re giving up in the process of letting it speak for us.
Scaling tech teams demands more than metrics — it requires systems thinking, intentional design, and a foundation of psychological safety.
As AI accelerates software delivery, the engineer’s role is shifting — from code artisan to prompt-driven operator or strategic orchestrator. The challenge ahead isn’t just adapting to AI, but ensuring we still build the judgment, systems thinking, and mentorship that great engineering demands.
Jargon doesn’t build trust — clarity does. To lead effectively, tailor your message to your audience, speak plainly, and focus on insights that drive action. Leadership communication isn’t about sounding smart. It’s about being understood.
Exploring the importance of adopting principles over processes, trust over control, innovation over predictability, and learning over failure in the fast-paced world of tech organisations.
Let’s explore five dysfunctions that can impede effective leadership and practical examples and strategies to prevent or resolve them.
Advocating for the importance of focusing on problems as a means to generate value for your organisation.
Unleashing Autonomy, Mastery, and Purpose.
What good mentorship looks like.
On the importance of making impact-driven decisions by leveraging technical knowledge.
How to transition from the “move fast and break things” paradigm to a “keep a steady pace and don’t break things” — all while making sure you don’t jeopardize customer feedback or time to market.
Implementing an effective and efficient code review process is not easy. Here is what I learned.