The current tech narrative is heavily skewed toward automation. With AI agents writing boilerplate, generating components, and even scaffolding entire projects, it is easy to look at the future of software development and assume the human element is shrinking to become nothing.
But if you are actively maintaining or contributing to an open-source project, you know the reality is quite different. AI can write code, but it cannot contextually validate it against decades of obscure edge cases. It cannot tell you why a specific business logic fails in production.
Most importantly, AI cannot build a community. The evolution of robust software still relies entirely on people collaborating, breaking things, reporting bugs, and validating that the code actually works in the wild.
To see this in action, we need to look at projects attempting to bridge massive generational gaps in technology. A perfect example of this is . Bring your oldest, ugliest legacy code, try to break the runtime, and please, let us know what happens!
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