When AI Meets Craft: The Decline of Beautiful Erlang Code

The recent emergence of AI-generated code presents an intriguing paradox: while these tools promise increased productivity, they risk undermining the very qualities that make certain programming languages distinctive and elegant. This concern is particularly acute in the case of Erlang, a language celebrated for its declarative nature and fault-tolerant design.

The article presents a compelling case study through a piece of Erlang code allegedly generated by an AI. This function, handle_post_job, exemplifies the kind of imperative nesting that would make any seasoned Erlang developer cringe. The multiple layers of case expressions, complex error handling, and verbose pattern matching create a structure more reminiscent of C than the clean, functional style that characterizes well-written Erlang.

What makes this particularly troubling is that Erlang, like SQL, is fundamentally a declarative language. Its strength lies in expressing what should be done rather than how it should be done step-by-step. The AI-generated code ignores this principle, instead producing imperative constructs that fight against the language's natural flow.

The implications extend beyond mere aesthetics. When code becomes difficult to read and understand, maintenance suffers, bugs become more likely, and the language's inherent advantages are diminished. This creates a concerning feedback loop: as AI-generated code proliferates, developers become accustomed to lower quality standards, which in turn influences future AI training data and generations of code.

The author's conversation with a Google developer reveals a broader industry anxiety about AI's role in software development. What began as a tool for assistance has, in some quarters, evolved into a perceived replacement for human developers. This shift represents more than just a change in workflow—it threatens the craft of programming itself.

The concern about losing 'beauty' in code may seem abstract to some, but it reflects a deeper truth about software development: elegant code is not merely aesthetically pleasing; it is more maintainable, less error-prone, and easier to reason about. When AI produces functionally correct but stylistically inappropriate code, it solves the immediate problem while creating long-term technical debt.

This situation calls for a more nuanced approach to AI-assisted programming. Rather than treating these tools as simple code generators, we should develop them to understand and respect the idiomatic patterns and stylistic conventions of different languages. For Erlang, this means embracing its functional, concurrent nature rather than imposing imperative structures.

The future of AI-assisted programming need not be a race to the bottom. By guiding these tools with careful prompt engineering, establishing style guidelines, and maintaining human oversight, we can harness AI's productivity benefits while preserving the craft and elegance that make great code great.