Comparison Overview

Software fails, and it fails often. The database is down when you query it. The payment provider times out. A user submits “banana” where you expected a number.

Most code treats these as afterthoughts: you write the happy path, then bolt a try/catch onto the end. This page compares five approaches that treat failure as part of the design instead.

Five Philosophies

Safety Net (try/catch)	Railway (neverthrow)
Happy path first	Success track
Slip and fall	Switch point
Caught (maybe)	Error track
Control Room (Effect)	Orchestrator (awaitly)
Blueprint	Declare steps
Control panel	Auto-infer errors
Execute	Execute with step()
Platform (Vercel Workflow)
“use step” directive
Compiler transforms code
Platform handles durability

At a Glance

Approach	Error Visibility	Composability	Ergonomics	Bundle Size
try/catch	Low (hidden)	Medium	High	Minimal
awaitly	High	High	High	Light
neverthrow	High	High	Medium	Light
Effect	Very High	Very High	Low → Medium	Heavy

Three Criteria for Good Error Handling

Whatever approach you choose, judge it against three questions:

1. Visible: can you see every way the code can fail just by reading it?
2. Composable: can you combine fallible functions without extra ceremony?
3. Honest: does the function signature say what can go wrong?

The Decision Tree

Need to handle errors?
        │
        ▼
   Simple use case? ──Yes──▶ try/catch
        │
       No
        │
        ▼
Want compiler-verified error handling (Result types)?
        │
   No ──▶ try/catch
        │
   Yes
        │
        ▼
   Want async/await syntax? ──No──▶ neverthrow
        │
       Yes
        │
        ▼
   Need full ecosystem (DI, layers, tracing)?
        │
       Yes ──▶ Effect
        │
       No ──▶ awaitly

When to Use What

Start with try/catch if:

• You’re building something simple
• You need to ship quickly
• You’re at system boundaries (HTTP handlers, event listeners)

Consider awaitly when:

• You want Result types with familiar async/await syntax
• You need automatic error type inference
• You need retries, timeouts, and caching
• You like Effect-style helpers (step.all, step.map, step.race) without the Effect runtime
• Your team knows async/await but wants better error handling

Consider neverthrow when:

• You want compiler-verified error handling
• You prefer functional chaining (.andThen())
• You don’t mind moving away from async/await for composition

Look at Effect when:

• You need the full ecosystem (DI, layers, tracing)
• Testability via pure dependency injection is critical
• Your team has capacity to learn functional programming

Detailed Comparisons

Errors Deserve Better

OTA-299 timeout-after-capture benchmark: typed errors, explicit retry policy, and exhaustive UX mapping.

Read benchmark →

vs Promises

Compare Promise + try/catch with AsyncResult. See why typed errors catch bugs at compile time.

Read comparison →

vs try/catch

Compare traditional exception handling with Result types. See why explicit errors catch bugs at compile time.

Read comparison →

vs neverthrow

Both use Result types. Compare chaining (.andThen()) vs async/await (step()).

Read comparison →

vs Effect

Compare lightweight orchestration vs full ecosystem. Effect-style ergonomics with native async/await (step.all, step.map, step.race) and explicit DI.

Read comparison →

Effect-style layers in awaitly

Effect-style dependency injection without Tags or Layers: pass deps at create time, pre-bind with withDeps(...), or override per run for tests.

Read guide →

vs Vercel Workflow

Compare compiler directives with explicit Result types. See when platform integration beats portability.

Read comparison →

Choosing

No approach is right for every project. Each is a tool for a different job:

• try/catch when you need simplicity
• neverthrow when you want functional composition
• awaitly when you want familiar async/await with type safety
• Effect when you need the full architectural toolkit

Pick the one that fits the failure modes your code actually has, and the amount of structure your team wants to maintain.