Part 1: If Engineering Teams Were Governments
Engineering teams are miniature political systems. Decisions, ownership, and authority mirror the structures of real governments. What would engineering look like under communism, socialism, democracy, or fascism? The parallels are surprisingly accurate—and revealing.
Engineering organizations don’t just write software. They are tiny political systems wearing hoodies. 🧑💻 They distribute power. Who decides architecture? Who allocates resources? Who owns systems?
Political ideologies offer a surprisingly accurate lens for understanding how engineering teams operate.
This post explores what engineering cultures look like through the lens of communism, socialism, democracy, and fascism.
Underneath the humor lies a serious idea: the way power is distributed inside an organization profoundly shapes the systems it produces.
🟥 Communism → The Collective Codebase
In theory, communism means shared ownership of the means of production. No hierarchy, no private ownership, and everyone contributing for the common good.
Translated to engineering:
Everyone owns everything.
What it looks like
- No strict ownership of services
- Anyone can modify any part of the codebase
- Architecture decisions made collectively
- Shared responsibility for outcomes
The upside
In small teams this can feel amazing.
- Strong collaboration
- Knowledge spreads quickly
- No territorial behavior
- “That’s not my software” never exists
The reality drift
Over time something interesting tends to happen.
Informal leaders emerge.
Certain engineers naturally gain influence because they understand the system better. Eventually the team quietly evolves into something closer to a technocracy, even if the ideology says everyone is equal.
Software, like economies, tends to organize itself around expertise and incentives.
🟧 Socialism → Shared Platform, Local Autonomy
Socialism emphasizes collective support structures while still allowing some distributed control.
In engineering terms:
The organization provides shared infrastructure, but teams retain autonomy.
What it looks like
- Strong platform teams
- Shared tooling and internal frameworks
- Centralized DevEx investment
- Individual teams build features independently
The upside
This model often produces healthy engineering ecosystems.
- Teams move quickly
- Shared infrastructure reduces duplication
- Platform investments raise everyone’s productivity
The tension
Too much centralization and teams feel constrained.
Too little and the ecosystem fragments.
You start seeing complaints like:
“Why do we have to use the platform team’s framework?”
Which is basically the engineering equivalent of arguing about tax policy.
🟦 Democracy → Consensus Engineering
Democracy distributes power through participation.
In engineering cultures this means decisions are shaped by discussion, consensus, and voting.
What it looks like
- RFC processes
- design doc reviews
- architecture councils
- lots of Slack debates
The upside
Democracy surfaces good ideas.
Diverse engineers catch blind spots and challenge assumptions.
Major architectural decisions become well considered.
The downside
Consensus has a cost.
Decisions can slow to a crawl. Engineers spend hours debating naming conventions instead of shipping.
Sometimes you get the most agreeable solution, not the most innovative one.
Software built this way is rarely disastrous.
But it’s not always daring either.
⬛ Fascism → The Strong Leader Org
Fascism centers around strong centralized authority and ideological alignment.
In engineering cultures this often appears when a powerful leader or founder defines the vision and demands strict adherence.
What it looks like
- One leader drives architecture decisions
- Strong alignment around a single vision
- Strict processes and standards
- Disagreement discouraged
The upside
Execution can be extremely fast.
When the leader is technically brilliant, the system can become remarkably cohesive.
The danger
Bad decisions go unchallenged.
Engineers stop questioning things.
Technical debt and flawed assumptions can compound because nobody feels safe pushing back.
Fear is a terrible architecture review process.
🧠 The Interesting Pattern
Engineering cultures almost never stay purely in one model.
Healthy organizations tend to evolve toward hybrids.
A common stable mix looks like this:
- Socialism for platform infrastructure
- Technocracy for domain expertise
- Democracy for major architecture decisions
With occasional bursts of strong leadership when decisive action is needed.
Just like real societies, balance matters.
🔬 The Strange Meta Observation
Software systems mirror the governance structure of the teams building them.
This is essentially Conway’s Law.
If leadership is centralized, the architecture becomes centralized.
If teams are autonomous, services become modular.
If decisions require committees, the codebase grows layers of abstraction and process.
In other words:
The architecture diagram of a system is often just a map of organizational power.
🧭 The Thought Worth Leaving With
The real question for engineering leaders isn't:
“Which system is correct?”
The deeper question is:
Which structure produces the healthiest environment for humans to build great systems?
Because at the end of the day, software isn’t written by governments.
It’s written by tired primates with laptops, snacks, and a CI pipeline that occasionally fails for no reason. 🧑💻🍕⚙️