Small Teams Will Ship More Software Than They Can Maintain
Small teams can ship software quickly thanks to modern tools and AI, but they risk accumulating technical debt and maintenance burdens faster than their limited capacity can handle, leading to long-term sustainability issues.
Background
- Vincent Schmalbach is a veteran software engineer and engineering manager who writes about developer productivity, team dynamics, and the craft of building software.
- This post pushes back on the popular "move fast and ship" ethos celebrated by startup culture and AI-tooling advocates. Schmalbach argues that small teams, empowered by AI coding assistants (e.g., GitHub Copilot, Cursor), will produce code faster than they can responsibly maintain—leading to accumulating "technical debt" (unfixed bugs, messy architecture, undocumented systems).
- The key insight: shipping velocity is easy to measure; maintenance burden is invisible until it causes a crisis. The article warns that treating AI tools as force multipliers for output, without corresponding investment in testing, documentation, and refactoring, creates a trap.
- Relevant to anyone following debates about AI in software, developer productivity metrics, and the long-term sustainability of lean engineering teams.