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Sebastien Lato
Sebastien Lato

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SwiftUI Build & CI/CD Architecture (Ship Fast Without Breaking Things)

Most iOS teams think CI/CD is “running tests”.

In reality, it’s the last line of architectural defense:

  • bad dependencies should fail builds
  • performance regressions should block merges
  • broken localization should never ship
  • flaky tests should be visible, not ignored

This post shows how to design a production-grade CI/CD architecture for SwiftUI that:

  • enforces quality automatically
  • scales with team size
  • prevents regressions
  • keeps release velocity high

🧠 The Core Principle

If quality is optional, it will be skipped.

CI/CD exists to make quality non-optional.


🧱 1. CI Is an Architectural Boundary

CI is not tooling glue.
It is an extension of your architecture.

Anything you care about must be enforced here:

  • dependency rules
  • test coverage
  • performance budgets
  • linting
  • build reproducibility

If CI doesn’t fail, the system allowed it.


🧬 2. Deterministic Builds

Your build must be:

  • reproducible
  • deterministic
  • environment-independent

Rules:

  • lock dependency versions
  • avoid implicit build settings
  • avoid local-only scripts
  • no manual build steps

A build that only works on one machine is already broken.


🧪 3. Test Pyramid Enforcement

Automate the pyramid:

  • Unit tests → fast, numerous
  • Integration tests → focused
  • UI tests → minimal, critical paths only

Fail the build if:

  • unit tests fail
  • critical UI flows break
  • flaky tests exceed threshold

CI should surface instability early.


⚡ 4. Performance Regression Gates

Performance is a feature.

Track:

  • app launch time
  • critical screen render times
  • memory peaks
  • scroll performance

Block merges when:

  • metrics exceed baseline
  • regressions cross tolerance

Performance regressions are bugs, not suggestions.


🌍 5. Localization & Accessibility Checks

CI should validate:

  • missing localization keys
  • broken RTL layouts (snapshot tests)
  • dynamic type scaling
  • accessibility labels presence

If CI doesn’t test this, production users will.


🔐 6. Security & Configuration Validation

Validate in CI:

  • secrets not committed
  • debug flags not enabled
  • logging levels correct
  • environment config sanity

Never rely on manual review for this.


🧭 7. CI Stages (Recommended)

Example pipeline:

  1. Static analysis (lint, format, dependency audit)
  2. Unit tests
  3. Integration tests
  4. Snapshot tests
  5. Performance checks
  6. Build artifact validation
  7. Archive & distribute

Each stage narrows risk.


🧠 8. Artifact-Centered Releases

CI should produce:

  • signed build artifacts
  • versioned archives
  • reproducible outputs

Release pipelines consume artifacts, not source.

This guarantees what you tested is what you ship.


⚠️ 9. Common CI/CD Anti-Patterns

Avoid:

  • skipping CI for “small changes”
  • flaky tests ignored
  • manual release steps
  • performance checks removed “temporarily”
  • CI that only runs on main

These create silent regressions.


🧠 Mental Model

Think:
Code Change
→ CI Enforcement
→ Artifact
→ Release

Not:

“It passed locally”


🚀 Final Thoughts

A strong CI/CD architecture gives you:

  • faster releases
  • safer refactors
  • fewer production incidents
  • calmer teams
  • real confidence

CI/CD is not overhead.
It is operational architecture.

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