Artificial intelligence is already writing code, testing features, and showing up in sprint meetings – but what does that mean for how we build and lead software teams?

In this episode, Yasin sits down with engineering leader Ryan Greenhall to unpack the realities of working alongside AI. Drawing on his experience scaling teams through crises and hypergrowth, Ryan shares how AI is reshaping roles, responsibilities, and how the best teams are using AI to amplify strong fundamentals, not replace them. Ryan also unpacks what an AI-augmented SDLC might look like – smaller teams, faster feedback loops and engineers acting as ‘tech leads’ to AI agents.

If you’re leading or working in the software industry and wondering how to prepare your teams for the age of AI, this conversation is for you.

When two companies join forces, the headlines focus on valuation and strategy, but under the surface, there’s another story playing out in codebases, infrastructure and teams.

In this episode, I talk to Yann Cluchey about what really happens on the technical side of mergers and acquisitions: from uncovering hidden risks during due diligence to the complex work of integrating systems, architectures, and cultures post-deal.

Drawing on years of experience guiding technology teams through M&A transitions, Yann shares candid insights on what to look for before you buy, how to assess engineering maturity, and why the hardest part of any merger isn’t the tech; it’s the people who build and maintain it.

If you’re an engineering or product leader facing an acquisition, or simply want to understand the unseen technical challenges behind the business headlines, this conversation is for you.

Scaling a software system isn’t just about writing more code – it’s about balancing people, processes, and platforms in ways that can survive rapid growth. In this episode, we talk with Gemma Whitehouse, a seasoned CTO and advisor to VC- and PE-backed startups, about the realities of scaling products and teams when everything is moving fast.

Drawing on two decades in tech, Gemma shares candid lessons from guiding startups through the messy middle of growth: when technical debt starts to bite, when processes creak under pressure, and when culture makes the difference between resilience and collapse. We also explore how AI is reshaping the challenges of scale; speeding up some problems while magnifying others.

If you’re building or leading software in a scaling environment, and wondering how to grow without breaking what already works, this conversation is for you.

When your platform is critical to how your business runs – and that platform is showing its age in increasingly frustrating ways – a rewrite can feel like the cleanest route to modernisation. But it’s rarely that simple.

In this episode, we speak with Tom Hill, Director of Engineering at Corsearch, about the false economy of a rewrite (and the realistic alternatives).

With years of experience balancing deep technical debt against ambitious product goals, Tom shares hard-won lessons on what it really takes to evolve complex systems under pressure. We get into the weeds of brittle codebases, scaling bottlenecks, and team morale, and explore proven approaches to modernisation – from the strangler fig pattern to rebuilding context before you write a single line of code.

If you’re leading engineering on a platform that’s outgrown its architecture, or just trying to move faster without breaking what works, this is a conversation for you.