Coffee and croissants

This morning marked the start of what is dubbed as Fraser Fridays, basically the inter-group meeting of the Magnetic Resonance groups at UEA. And as I’m new it was decided for me that I should do a nice little presentation about what I did before Norwich.

So I dug out the old Masters presentation from 6 months ago, changed the date on the front and went for it whilst the hoard dug into the croissants and breakfast pastries I bought in (apparently another rule to get people there, the speakers brings cakes).

The presentation was pretty good itself despite Myles look of sheer puzzlement which is slightly off-putting but is apparently his default face. And it was all well and good til the biologist piped up. You basically just asked a load of questions along the lines of “Did you think about…. / Have you tried ….”

To which I basically replied yes you moron of course I did. Because of course I was there at the time and had a brain. And saw the problem arise in the first place. I just decided to omit it from the presentation cos I’m trying to get 10 months of work into a single piece of 15 minute standup, and little details like that I didn’t think were necessarily relevant.

There were then a few comments about why I was wrong. Which I had to bite my tongue for, for it is not good form when on your 4th official week you start attacking a professor. Even if the plant hugger is talking out of his arse. But in hindsight, this is academia all over. Of course I believe I’m right. Everybody else can just f*** off and die, cos they are clearly wrong.


This page previously appeared on morganbye.net[^1]

[^1:] http://morganbye.net/2009/10/coffee-and-croissants

How do you define successful engineering leadership?

The Philosophy

Many view technical leadership as being the “smartest architect in the room.” I see it as the opposite. My job is to build a room where I don’t have to be the smartest person because the systems, culture, and communication are so robust that the team can out-innovate me.

The Strategy

  • Alignment: Does every engineer understand how their sprint task impacts the company’s bottom line?
  • Velocity vs. Stability: We aren’t just “shipping fast”; we are building a predictable, repeatable engine that doesn’t collapse under its own weight at the next order of magnitude.
  • The Human Growth Curve: Success is when the engineering team’s capability evolves faster than the product’s complexity. If the team feels stagnant, the tech stack will soon follow.

What is your approach to scaling technical organizations?

The Philosophy

Scaling isn’t just “hiring more people” - that’s often how you slow down. Scaling is about moving from Individual Heroics to Organizational Systems.

The Strategy

  • The 3-Continent Perspective: Having managed global teams, I focus on “High-Signal Communication.” As you grow, the cost of a meeting triples. I implement “Asynchronous-First” cultures that protect deep-work time while ensuring no one is blocked by a timezone.

  • Modular Autonomy: I advocate for breaking down monolithic teams into autonomous units with clear ownership. This reduces the “communication tax” and allows us to scale the headcount without scaling the bureaucracy.

  • Automation as Infrastructure: At petabyte scale, manual intervention is a failure. I treat the developer experience (CI/CD, observability, self-service infra) as a first-class product to keep the “path to production” frictionless.

How do you balance high-growth velocity with technical stability?

The Philosophy

Technical debt isn’t a “bad thing” to be avoided; it’s a set of historical decisions that no longer serve you. Like any loan, leverage can accelerate growth when investments payoff. But if velocity and returns are slowing you need a payment plan before the interest kills you.

The Strategy

  • The ROI Filter: I don’t refactor for the sake of “clean code.” I don’t refactor a micro-service with no users. I refactor when the pain on that debt - measured in bugs, downtime, or developer frustration - starts to exceed the cost of the fix.

  • Zero-Downtime Culture: Especially at scale, stability is a feature. I implement “Guardrail Engineering” where the system is designed to fail gracefully, ensuring that a Series B growth spike becomes a success story rather than a post-mortem.

  • The 70/20/10 Rule: I typically aim to dedicate 70% of resources to new features, 20% to infrastructure/debt, and 10% to R&D. This ensures we never stop innovating, but we never stop fortifying either.