What you'll learn
Create a reproducible delivery pipeline with reviews, analysis, tests, builds, protected secrets, artifacts, promotion, and rollback drills. The lesson turns the APIs into a repeatable engineering workflow instead of a collection of isolated snippets.
By the end of this lesson, you'll be able to:
- Apply Git and review in a production-shaped Flutter feature
- Apply Pinned toolchains in a production-shaped Flutter feature
- Apply CI quality gates in a production-shaped Flutter feature
- Apply Signing secrets in a production-shaped Flutter feature
Core mental model
Connect each API to the decision it supports. Flutter code stays maintainable when state, ownership, lifecycle, and platform boundaries are explicit.
| Concept | What it means | Decision rule |
|---|---|---|
| Quality gate | An automated check required before change promotion | Run formatting, analysis, tests, and representative builds on every review |
| Artifact promotion | The same verified binary moves through release environments | Avoid rebuilding source differently after approval |
| Least privilege | Automation receives only the access required for one task | Scope signing and store credentials and rotate them deliberately |
Professional workflow
Work in small vertical slices and keep behavior observable from the first iteration.
- Define the reproducible delivery pipeline boundary: user goal, inputs, visible states, ownership, and expected failures.
- Build the smallest working vertical slice with typed data and explicit dependencies.
- Represent loading, empty, success, and failure behavior where the feature can encounter them.
- Verify logic away from the UI, then exercise the rendered behavior at its public boundary.
- Inspect lifecycle, accessibility, performance, security, and platform behavior before widening the feature.
- Refactor only after behavior is protected by repeatable evidence.
Protect the frame
Guided Flutter lab
Build a focused reproducible delivery pipeline slice
This compact example keeps the important ownership and data-flow decisions visible so the behavior is easy to extend and test.
name: Flutter quality
on: [pull_request]
jobs:
verify:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: subosito/flutter-action@v2
with:
flutter-version: 3.x # Pin the exact supported release in the real project.
channel: stable
cache: true
- run: flutter pub get
- run: dart format --output=none --set-exit-if-changed .
- run: flutter analyze --fatal-infos
- run: flutter test --coverage
- run: flutter build web --releaseProduction practice
Contract
Define the reproducible delivery pipeline inputs, outputs, owner, lifecycle, visible states, and platform assumptions before selecting APIs or packages.
Verification
Protect pure rules with unit tests and the rendered public contract with widget or integration evidence; include one unavailable or failure case.
Operations
Keep dependencies replaceable, log actionable context without user secrets, and measure user-visible behavior before optimizing.
Common failure mode
Independent workshop
Extend the guided lab into a review-ready reproducible delivery pipeline feature that fits the running course portfolio app.
Your finished workshop must include:
- Git and review
- Pinned toolchains
- CI quality gates
- Signing secrets
- Artifact promotion
- Automated verification and a short design note
Definition of done
Recap & quick check
Key takeaways
- Quality gate: Run formatting, analysis, tests, and representative builds on every review
- Artifact promotion: Avoid rebuilding source differently after approval
- Least privilege: Scope signing and store credentials and rotate them deliberately
Quick check
1. Which rule best applies to Quality gate?
2. Which rule best applies to Artifact promotion?
3. Which rule best applies to Least privilege?
Next: Production Capstone Projects