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Anindya Obi
Anindya Obi

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Flutter API Integrations for Frontend: stop leaking backend chaos into your UI

The midnight endpoint

It was “one endpoint.”
Just pull /me, show the profile.

Then OAuth redirect didn’t come back, the websocket started reconnecting forever, and your iPhone couldn’t hit localhost — so now you’re debugging network + auth + state… inside UI code.

Picture this instead: you fix it once, in one place, and the screens stop catching fire.

The pattern: boundary leak

This isn’t a Flutter problem. It’s a boundary leak.

When your widgets / Cubits / BLoCs know about:

  • base URLs + headers
  • token refresh rules
  • websocket reconnect logic
  • DTO parsing + backend error formats
  • retry/backoff policies

…you didn’t “integrate an API.”
You imported backend volatility into the UI layer.

And then every backend change becomes:

“Why did this screen break?”

instead of

“Update one adapter. Ship.”

The pain is measurable (you’re not imagining it)

Even in mature teams, API integration still gets blocked by context hunting:

  • In Postman’s State of the API report, 58% rely on internal docs — but 39% say inconsistent docs are their biggest roadblock.
  • 44% dig through source code to understand APIs, and 43% rely on colleagues to explain them.

Now layer AI on top:

Sonar’s 2026 State of Code survey found:

  • 95% of developers spend at least some effort reviewing, testing, and correcting AI output.
  • 38% say reviewing AI-generated code takes more effort than reviewing human-written code.

So if your boundaries are fuzzy, AI doesn’t save you — it creates verification debt.

How we build (values)

We don’t ship vibes and call it velocity.

We ship boundaries so the app stays calm even when the backend isn’t.

The standard

Drop this into your repo as API_INTEGRATION_STANDARD.md and enforce it in PRs.

API Integration Standard (Flutter + Clean Architecture)

Non-negotiables

1) No http/dio, websocket clients, token refresh, or parsing inside Widgets, Cubits/BLoCs, or UI state.
2) UI calls only UseCases (application layer).
3) UseCases call only Repository interfaces (domain contracts).
4) Repository implementations call DataSources (REST/WS/cache) + mappers.
5) No exceptions cross layers. Normalize everything to AppFailure.

Required layers

  • presentation/ -> screens, widgets, blocs/cubits, ui models
  • application/ -> usecases, orchestration
  • domain/ -> entities, repository interfaces, failures
  • data/ -> api client, data sources, DTO models, mappers, interceptors

Every API call returns

Result<T> (or Either<AppFailure, T>). Never throw across layers.

AppFailure (single shape)

  • type: Network | Auth | Validation | NotFound | Conflict | Server | Unknown
  • message: safe for UI
  • debug: optional (logs only)
  • statusCode: optional

Auth rules

  • Token storage + refresh live in data/auth/
  • Repos never refresh tokens directly; they call AuthDataSource
  • If refresh fails -> AppFailure(Auth) and force re-login

Realtime rules (websockets)

  • Websocket client lives in data/realtime/
  • Expose Stream<DomainEvent>
  • UI never parses raw socket payloads

PR checklist (must pass)

  • [ ] No networking code in presentation/
  • [ ] Repository interfaces in domain/
  • [ ] DTO mapping isolated (data/mappers)
  • [ ] Errors mapped to AppFailure
  • [ ] One integration test covers: success + 401 refresh + offline + bad payload

The 10-minute refactor (try this today)

Pick one endpoint you’re currently calling from UI/BLoC and do this:

1) Create a UserRepository interface in domain/

2) Implement it in data/ using UserApiDataSource + Mapper

3) Return Result<User> (no throws)

4) Call it from a GetUserUseCase

5) UI calls the UseCase, nothing else

You’ll feel the difference immediately: UI stops learning backend trivia.


What to automate (boring guardrails)

Most of this work is repeatable scaffolding:

  • repo + datasource wiring
  • DTO and domain mapping
  • standardized failures
  • refresh + retry policies
  • websocket event envelopes

Automating these guardrails matters because it creates:

  • Predictability: same flow, same error model, same structure every time
  • Less noise: fewer “works on one screen but not another” mysteries
  • Trust: teammates stop fearing integrations (and stop rewriting them)

Where HuTouch fits (quietly)

If you’re using AI to speed up frontend integrations, the best move is to make AI follow your boundaries, otherwise you pay the verification bill later.

That’s why we built HuTouch: automation that applies your architecture standards while generating the boring integration scaffolding (so your UI doesn’t become the backend’s junk drawer).

Quick demo playlist (includes “Integrate APIs”):

What early devs told us:

  • “Saved >40% effort in converting Figma to production ready code”
  • “Best reliability… with state management, strong architecture and coding standards”
  • “A 3 months project can be completed in <2 months”
  • “Love Blueprints & the community around it”

Get early access to HuTouch now.


The inevitable truth (2 lines)

Backend complexity isn’t slowing down and frontend integrations won’t magically get simpler.

Either you enforce boundaries (and automate guardrails)… or you keep paying the midnight tax.

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