The early days: speed over quality
In the early stages of a company, the rules are different. The goal is to find product-market fit, and the complexity of what you're building is relatively low. At this stage, you can succeed with a small group of average but extremely hardworking people. Five developers who ship fast, iterate constantly, and don't overthink architecture can get you further than a carefully assembled team of specialists.
This is appropriate. Before product-market fit, output matters more than quality. Speed of iteration matters more than scalability. The code you write today might be thrown out tomorrow, and that's fine. The only thing that matters is learning fast enough to find something that works.
The problem is that the habits and team structures that work in this phase don't survive the transition to the next one.
The shift after product-market fit
Once product-market fit is found, everything changes. The product enters new phases — version two, version three, version four. Momentum builds. There's pressure to hire more people to capture the opportunity.
But two problems emerge simultaneously. First, the people who created product-market fit aren't necessarily the right people for the next phase. The skills that matter shift from raw speed to architectural thinking, from scrappy problem-solving to structured delivery.
Second, the foundation you built quickly now becomes the thing you have to build on top of. Shortcuts that were smart at five people become expensive at fifteen. Technical debt that was invisible when two developers shared a single codebase becomes a daily friction when ten people are working in it.
This is the moment where many companies make their most consequential staffing mistakes. They feel the urgency to grow and hire fast, applying the same approach that worked in the early days. But the game has changed.
Why complexity grows faster than headcount
Every person you add to an engineering setup increases three things: communication paths, coordination requirements, and organisational overhead. A team of five has ten communication paths. A team of fifteen has one hundred and five. A team of fifty has over a thousand.
This isn't just a theoretical observation. It shows up in daily reality. More meetings. More alignment sessions. More time spent making sure everyone is working in the same direction. More context-switching as dependencies between people and teams multiply.
The result is that output per developer naturally drops in larger setups. This isn't a sign that people are less talented or less motivated. It's a structural reality. A team of fifty will never be ten times as productive as a team of five, even if every person in the larger team is individually excellent.
And as the organisation grows, something else happens: you start adding roles that don't directly produce output. Project managers, coordinators, alignment facilitators — people whose entire job is to manage the communication overhead created by having more people. They're necessary, but they represent a cost that didn't exist when the team was small.
This is why scaling demands higher standards, not lower ones. When coordination overhead is an unavoidable tax on every person in the system, the quality of each individual determines how much productive work actually happens after that tax is paid. An average developer in a team of five might contribute meaningfully because the overhead is small. The same developer in a team of fifty might spend half their week in alignment activities and produce very little net output.
Fewer, better people
The most important principle in scaling an engineering organisation is this: as the organisation grows, the quality bar must go up, not down.
Coordination cost is one of the largest hidden costs in software development. It's not the salaries, not the tooling, not the cloud infrastructure. It's the time and energy people spend working between each other rather than producing. And the only way to keep that cost manageable is to minimise headcount for the same output.
That means fewer, more capable people. Developers who can take ownership of larger scope. People who don't need to be managed closely. Engineers who reduce the communication burden rather than adding to it.
As we discussed in the previous article, your barrels can only be as effective as the people around them. As the organisation scales and overhead increases, the quality of your ammunition becomes the difference between a team that accelerates and one that gradually slows under its own weight.
There's also a quieter effect that compounds over time. The best developers are made by working alongside other great developers — so every senior hire either raises the bar for everyone around them or lowers it. At five people, you can absorb a wrong hire. At fifty, the environment itself is what shapes the developers you'll have in five years.
In the next article, we'll look at a factor that most leaders underestimate when thinking about talent quality: the technology stack they've chosen to build on, and how it directly determines the size and depth of the talent pool available to them.
