Implementing Development Workflows

1. Setting Up Local Development

ToolUse
Docker ComposeSpin deps locally
Tilt / SkaffoldHot reload to local K8s
Devcontainers / NixReproducible env
Telepresence / mirrordRun service locally vs remote cluster

2. Implementing Service Stubs

ToolUse
WireMock / MockServerHTTP stubs
PrismOpenAPI mock server
grpcmockgRPC stubs

3. Using Contract Testing

AspectDetail
Pact brokerShare contracts
can-i-deployGate on verification
PipelineBlock on broken contract

4. Implementing Feature Branches

PracticeDetail
Short-lived≤ 1–2 days
PR per branchReviewed
RiskLong branches drift

5. Using Trunk-Based Development

AspectDetail
Single trunkmain always shippable
Small PRsDaily merges
Feature flagsHide unfinished
CI gateAll tests must pass

6. Implementing Code Reviews

PracticeDetail
CODEOWNERSAuto-assign reviewers
Small PRs≤ 400 LoC
ChecklistTests, docs, security
SLAReview < 1 day

7. Setting Up CI/CD Pipelines

StageDetail
Lint + unitFast feedback (< 5m)
Build imageTag w/ commit SHA + sign (cosign)
Integration / contractParallelize
DeployGitOps (Argo CD)

8. Using Service Templates

ElementDetail
Cookiecutter / YeomanScaffold
Backstage Software TemplatesSelf-service
IncludesCI, Dockerfile, Helm, observability

9. Implementing Database Migrations

ToolDetail
FlywaySQL versioned
LiquibaseSQL or XML/YAML
AtlasDeclarative
RunInit container or job

10. Managing Shared Libraries

PracticeDetail
Semantic versioningAvoid breaking consumers
Min surfaceDon't share business logic
Renovate / DependabotAuto upgrades

11. Using Monorepo vs Polyrepo Strategies

StylePros / Cons
MonorepoAtomic changes, shared CI; needs Bazel/Nx for scale
PolyrepoTeam autonomy; harder cross-cutting changes
HybridPer-domain monorepos

12. Implementing Developer Experience

InvestmentDetail
IDP (Backstage)Single portal: docs, services, CI status
Golden pathsDocumented happy path
Fast CICaching, parallelism
DX metricsDORA: lead time, deploy freq, MTTR, change-fail %