Elm Result Types and Serverless Packaging: Interoperability Cost Boundary

Elm compiles ahead-of-time to JavaScript, and its Result type replaces exceptions with explicit success and failure values. For a low-traffic serverless function, this pairing promises predictable control flow and potentially lower cold-start latency than interpreted runtimes. However, the integration boundary between Elm's exhaustive pattern matching and serverless deployment packaging leaves an unresolved cost trade-off.

Immutable data structures and mandatory Result handling can enlarge the generated JavaScript bundle when functions process large payloads, which directly influences deployment package size and cold-start initialization. Meanwhile, the absence of native tail-call optimization means deeply recursive Result-handling paths may grow the stack, though low-traffic workloads rarely reach practical limits. Elm 0.6 introduced stricter row-type checking, so older Result-based code may require refactoring before it fits cleanly into a serverless boundary.

Given these competing factors, where does the practical cost boundary fall for a minimal serverless integration? Does the bundle-size increase from exhaustive Result matching on large payloads outweigh the runtime predictability gains in low-traffic deployments? Should teams measure cold-start deltas between exception-based JavaScript and Result-based Elm output before committing to an error-handling strategy, and at what payload size does the lack of tail-call optimization become a stack concern for recursive handlers?