How to Tame a Chaotic Codebase When Scaling Your Startup

When a startup begins, the founder often writes a tangled codebase that only they understand. As hiring becomes necessary, the founder faces the challenge of making that code readable for new engineers. The author, Darshan Somashekar, recounts his own journey from solo developer to team leader and outlines practical steps to keep code organization manageable.

1. Keep the difficulty of refactoring from increasing

The primary rule is not to add new complexity while refactoring. When adding new features, write clean, well‑documented code, test each change immediately, and follow standard coding conventions. This prevents the codebase from becoming harder to maintain over time.

2. Don’t try to solve everything at once

Instead of attempting a massive overhaul, tackle small, incremental improvements. When a new feature depends on old code, clean up the relevant legacy sections first. Gradual, focused refactoring avoids overwhelm and makes progress sustainable.

3. The first hire is critical

Hiring someone familiar with your tools, language, and with a good personality is essential. Technical skill matters, but patience and a sense of humor are equally important. This first engineer often becomes the core around which the rest of the engineering team is built.

4. Don’t skimp on time spent explaining the code

After hiring, expect to spend considerable time walking the new engineer through existing code. Repeating explanations is normal; thorough knowledge transfer is necessary for the team’s long‑term health.

5. Wait for the right moment to tackle core, entrenched code

Some deep‑rooted components (e.g., authentication) may be too risky to refactor immediately. Instead, monitor product direction and look for natural opportunities—such as switching to a third‑party login system—to retire or replace those legacy sections without a massive rewrite.

Transitioning from a technical founder to a technology leader is challenging, but applying these principles can help turn a chaotic codebase into a maintainable foundation for a growing engineering organization.