Result is all I need

Clean code beats AI; commenters feud over exceptions, nulls, and the “Result” way

TLDR: A developer says AI isn’t enough and champions a “Result” pattern to tie clean, small functions together. Comments explode into a cross‑language brawl over exceptions vs results, with Rust, Kotlin, TypeScript, and Haxe camps debating performance, practicality, and how error handling really keeps code maintainable.

A solo dev came back after a year to say: AI can spit out posts in seconds, but clean, well‑organized code still matters—and their secret glue is the humble “Result” object that ties tiny service functions together. Cue the comment section turning into a language royal rumble. The Rust crowd rolled in first, declaring that with the “?” operator, results and exceptions are basically the same thing, then dropped a hot take about performance. Kotlin fans fired back with practical vibes, pointing out there’s a built‑in Result and swapping war stories from Spring Boot APIs. One commenter shouted “no, no, no!” at a try/catch that logs and rethrows—calling it the whole point of exceptions to bubble up, sparking a mini‑debate about where errors should live. TypeScript folks came armed with a library: neverthrow, basically “Result, but make it JavaScript.” Haxe made a surprise entrance flexing ML‑style types (read: smart compiler help) while still targeting “sloppy” languages, which turned into meme fodder: “Results are diet exceptions,” “Nulls in the chat,” and “Throw it? Neverthrow it.” The mood? Split between philosophers who love error purity and pragmatists who just want readable, testable code. The takeaway: AI’s fine for boilerplate, but your error strategy is where code quality lives—and dies.

Key Points

  • AI helps with boilerplate but is not sufficient for ensuring overall code quality.
  • Code should be organized into data-only classes and cohesive logic modules with clear naming.
  • Foundational interface-level code (controllers, repositories, clients, external services, configuration) should be stateless and isolated from business logic.
  • Service-level code should provide small, stateless business operations that are easy to unit test.
  • Using a Result object is recommended to compose service functions and handle exceptions/nulls cleanly.

Hottest takes

"Results and exceptions are the same thing" — anon-3988
"no, no, no!" — _ZeD_
"there is neverthrow… which offers a similar Result type" — paduc
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