Best Engineering Practices for .NET Core Development
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🚀 Best Engineering Practices for .NET Core Development — Manager’s Playbook
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Architect for Change, Not Just for Today
Why: .NET Core evolves fast; your architecture must absorb change without rewrites.
How to Implement
- Use vertical slice architecture (feature folders) so each feature is self-contained.
- Keep domain logic pure — no framework dependencies in core business rules.
- Apply bounded contexts from DDD to avoid cross-module coupling.
- Maintain Architecture Decision Records (ADRs) so future teams know why choices were made.
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Performance as a First-Class Citizen
Why: ASP.NET Core is fast, but careless patterns kill throughput.
How to Implement
- Make hot paths async end-to-end — no
Task.Result or .Wait().
- Use
IAsyncEnumerable<T> for streaming large datasets instead of loading all into memory.
- Profile regularly with
dotnet-trace or PerfView to catch regressions early.
- Cache aggressively (MemoryCache, Redis) but with expiry discipline to avoid stale data.
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Security by Default
Why: Security debt compounds faster than tech debt.
How to Implement
- Enforce HTTPS + HSTS in all environments.
- Centralize claims-based authorization with policies, not scattered if checks.
- Store secrets in Azure Key Vault or AWS Secrets Manager — never in config files.
- Run OWASP ZAP scans in CI and fix findings before release.
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Testing That Reflects Reality
Why: Unit tests alone don’t protect production.
How to Implement
- Use
WebApplicationFactory for API integration tests.
- Spin up real dependencies in CI with Testcontainers (SQL Server, RabbitMQ, etc.).
- Write scenario-based tests that mimic real user flows, not just method calls.
- Track mutation testing scores to ensure tests actually catch bugs.
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Observability as a Non-Negotiable
Why: You can’t fix what you can’t see.
How to Implement
- Structured logging with Serilog + correlation IDs for every request.
- Distributed tracing with OpenTelemetry to follow requests across services.
- Health checks (
Microsoft.Extensions.Diagnostics.HealthChecks) wired into monitoring dashboards.
- Define SLOs (Service Level Objectives) and alert when breached.
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Branching & Deployment Discipline
Why: Release chaos kills velocity.
How to Implement
- Prefer trunk-based development with short-lived feature branches.
- Every merge to main triggers build → test → security scan → deploy to staging.
- Use blue-green or canary deployments for safe rollouts.
- Keep rollback playbooks ready — including DB migration reversals.
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Dependency & Package Hygiene
Why: Outdated packages are a security and stability risk.
How to Implement
- Use central package management and NuGet lock files.
- Audit dependencies quarterly; remove unused libraries.
- Avoid “framework bloat” — only bring in libraries you truly need.
👥 People & Process Practices
Code Review Culture
Why: Reviews are about knowledge sharing, not gatekeeping.
How to Implement
- Use checklists (naming, error handling, performance, security).
- Rotate reviewers to spread knowledge.
- Keep PRs small — aim for < 400 lines changed.
Knowledge Retention
Why: Avoid “tribal knowledge” bottlenecks.
How to Implement
- Maintain a living architecture wiki with diagrams and ADRs.
- Run brown-bag sessions for new patterns or tech decisions.
- Encourage devs to write mini design docs before big changes.
Process That Serves the Team
Why: Process should enable, not suffocate.
How to Implement
- Track risks/issues/decisions in a RAID log.
- Use burn-up charts or cumulative flow diagrams to spot bottlenecks.
- Balance feature delivery with tech debt paydown in every sprint.
🏆 Quality & Continuous Improvement
- Automate static analysis (Roslyn analyzers, SonarQube) in CI.
- Measure DORA metrics (deployment frequency, lead time, MTTR, change fail rate).
- Run blameless post-mortems after incidents — focus on fixing systems, not blaming people.
- Keep a quality dashboard visible to the whole team.
💡 Manager’s Tip
Don’t try to roll out all practices at once. Pick one technical, one process, and one cultural improvement per quarter. Measure impact, then iterate.