AI Doesn't Need Your Programming Language: The Future of Code is Simpler and More Efficient

A peculiar phenomenon is emerging in the current AI coding revolution: we are using AI to generate code in languages like JavaScript, Python, and TypeScript, which were originally designed for humans to write. However, humans are no longer the primary authors; AI is.

This raises a crucial question: Why are we still optimizing for human writability when AI is doing the writing? The immediate answer is that humans still need to read, verify, debug, and maintain the code. Yet, the languages we currently employ often make this task harder than necessary. Verifying a hundred lines of React code with hooks, closures, and async/await is challenging even when written by a human. It becomes even more complex when AI generates it, and you're tasked with deciding whether to trust it.

What if AI were to write in something simpler?

The Case for Simpler Languages

This isn't about dumbing down technology; it's about acknowledging a fundamental shift in the economics of code.

AI Makes Fewer Mistakes in Constrained Grammars: When given a language with a small, consistent vocabulary and no syntactic ambiguity, large language models (LLMs) exhibit a dramatically lower error rate compared to generating JavaScript or Python. Fewer errors translate to less debugging, rework, and cost.
AI Uses Fewer Resources with Simpler Output: Generating 30 lines of readable script consumes fewer tokens than generating 200 lines of framework code to achieve the same functionality. At scale, this represents a significant cost difference.
Humans Can Actually Verify Simple Code: This is the critical point. AI-generated code holds zero value if its correctness cannot be ascertained. A non-specialist can readily understand the following snippet:
```
on click SaveButton
begin
    put the content of NameField into Name
    rest post Name to `/api/save`
    set the content of Status to `Saved`
end
```
and grasp its exact function. Attempting the same verification with an equivalent React component would be far more challenging.
Simple Languages Can Be Made Fast: A high-level scripting language implemented in WebAssembly or C could achieve performance indistinguishable from today's mainstream languages for most applications. The simplicity lies in the surface syntax, not the underlying execution model.

Where This Is Heading

An uncomfortable prediction suggests that, before long, most code will be written by AI and validated—if at all—by humans. The human role will transition from author to reviewer. Reviewers, inherently, require readable code far more than authors do.

When this paradigm shift occurs, the value proposition of complex languages changes dramatically. JavaScript's flexibility, Python's ecosystem depth, TypeScript's type system—these are advantages for human authors. However, for AI authors with human reviewers, they become liabilities. They increase the surface area for potential errors and complicate the verification process.

Instead, what will be needed is a lingua franca—a language simple enough that AI rarely makes mistakes, and readable enough for humans to quickly comprehend and verify.