The Fortress Loop: How Excessive Protection Hinders Developer Growth
A developer spends resources minimizing risks, but each measure creates new dependencies. In the end, anxiety doesn't disappear, and progress stops. This is the "fortress loop": closing known threats creates new points of failure, diverting resources from innovation to maintenance. IT professionals are familiar with this—from tests to firewalls.
Example: A specialist earning 200,000 rubles starts with a month's supply of food (15,000). Then a water filter (3,000), a generator (30,000), a plot of land outside the city (hundreds of thousands). The result—2 million spent on protection. Each decision is rational, but collectively it competes with learning ML, attending conferences, and career growth.
The Loop Algorithm in IT
The loop follows a cycle: anxiety → protection → new risks → anxiety. In programming, this manifests as:
- Tests: You add unit tests for reliability. They require maintenance during refactoring, flaky tests for dependencies, and CI/CD adaptation. Code volume grows, time for product development decreases.
- Cybersecurity: A firewall blocks threats, but updates break compatibility. Patches open vulnerabilities in the supply chain. The attack surface expands.
- Infrastructure: Backups solve downtime, but the cloud can fail. You need multi-regional replication, monitoring, failover logic—new points of failure.
Each layer of protection increases system complexity. Resources go into monitoring dependencies instead of feature development.
The Impossibility of Full Risk Coverage
A list of rules "if X, then Y" only covers known threats. Unknown ones hit the hardest. Examples:
- The 1998 financial default: Savings in rubles were devalued due to bonds, oil, and the Asian crisis.
- COVID-2020: Months of lockdown—neither food supplies nor generators accounted for being banned from leaving home.
Gödel's theorem emphasizes: A formal system cannot prove all truths within itself. Without external resources (new knowledge, experience), blind spots remain. 100% investment in protection leaves zero for expanding horizons.
Balancing Protection and Growth
Growth is a form of security. Economists Trammell and Aschenbrenner model it: Standing still with existing risks (AI, biotechnology) guarantees failure. Moving forward accelerates escape from the danger zone.
For a developer:
- A colleague, instead of buying land, takes ML courses: income increases from 200k to 300k. More resources for universal protection.
- Without a basic safety net, development is impossible: focus on survival, not skills.
Strategies to Break the Loop
- Increase income: A salary raise reduces the share of costs for basic protection (from 10 to 3 months' salary).
- Optimize protection: Focus on universal solutions.
| Narrow-Focused | Universal |
|-|-|
| Gas mask, dosimeter | 2-week supply of food/water |
| Specific master plan | Autonomous power supply |
| Individual bunker | Mobility, skills |
Basic insurance is a few percent of salary. The loop starts when protection consumes 100% of development resources.
Key points:
- The fortress loop diverts resources from growth to maintaining dependencies.
- Full risk coverage is impossible without external knowledge.
- Universal measures are cheaper and broader than narrow-focused ones.
- Income growth reduces the relative cost of protection.
- Balance: minimal protection + maximum development.
In the end, a specialist focused on growth adapts to unknown threats better than one who invested everything in a static fortress.
— Editorial Team
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