Software quality measured on every release
We treat quality as an engineering discipline: automated testing, quality gates in CI, native observability and DORA metrics on every delivery.
SonarQube
OpenTelemetry- E2E · Playwright42 specs
- Contract · Pact18 contracts
- Integration186 tests
- Unit · JUnit / Vitest1,842 tests
- Domain92%
- Application86%
- Infrastructure74%
- UI68%
Agile teams with engineering discipline.
Scrum, Kanban and XP practices applied with an explicit definition of done, mandatory code review and continuous delivery from sprint 1.
Scrum
2-week sprints with refinement, daily, demo and retro. Definition of done with tests, code review and deployment to live environments.
Kanban
Continuous flow with WIP limits, measured lead time and SLAs per service class. Operations and evolutionary work on a weekly cadence.
Extreme Programming
Pair programming, TDD, continuous refactor and continuous integration. Clean Code, SOLID and trunk-based development from the first commit.
End-to-end automated testing pyramid.
TDD from the first test, BDD for business contracts and contract testing between services. Every level runs in CI with measured coverage and blocking thresholds.
Test-Driven Development
Tests before the code. Emergent design, effective coverage and refactor without regressions. Minimum coverage ≥ 80% on domain modules.
Behavior-Driven Development
Gherkin scenarios shared with product. Executable living documentation with Cucumber, tied to the backlog and validated in the pipeline.
Unit · Integration · E2E
JUnit, Vitest, Jest and PHPUnit for unit tests. Testcontainers for integration. Playwright and Cypress for E2E. Contract testing with Pact between services.
Pipelines with quality gates and full traceability.
Every commit goes through the same chain: build, tests, static analysis, SAST and DAST, secret scanning and progressive delivery with DORA metrics monitored.
SonarQubeESLint
JUnit
Vitest
GitHub ActionsGitLab CI
Jenkins
Docker
KubernetesQuality measured in production.
Every Dinacode project exposes code quality, performance and delivery metrics. Same bar for every release.
Effective coverage
Coverage measured on domain modules with blocking thresholds. Mutation testing on critical code paths.
p95 measured
Performance budgets per endpoint. Alerts when latency degrades. Core Web Vitals green on frontend (Lighthouse ≥ 95).
DORA metrics
Deployment frequency, lead time for changes, change failure rate and MTTR visible on a per-service dashboard.
Accessibility WCAG 2.1 AA
axe-core audit in CI and manual validation of critical flows. Accessibility as an acceptance criterion.
Every Dinacode release ships with.
A closed set of practices that ships with every project. Same quality chain for every commit in production.
- Automated tests at three levels: unit, integration and contract testing in CI.
- Blocking quality gates with SonarQube: coverage, duplication and vulnerabilities.
- SAST, DAST, secret scanning and dependency auditing on every pull request.
- Native observability: structured logs, distributed traces and metrics with OpenTelemetry.
- DORA metrics per service: deployment frequency, lead time, change failure rate and MTTR.
- Continuous deployment with zero-downtime, feature flags and automatic rollback.
- Living documentation: ADRs per decision, OpenAPI specs and operations runbooks.
- WCAG 2.1 AA accessibility validated in the pipeline for every web deliverable.
What teams ask before they sign.
Concrete answers on quality gates, technical debt, production SLOs and integration with your team.
What minimum test coverage do you require?
Effective coverage ≥ 80% on domain modules, measured in CI with blocking thresholds. Mutation testing on critical code paths. Coverage is a floor: what matters is that tests are meaningful and run on every commit.What blocks a production deployment?
SonarQube quality gates: coverage below threshold, code duplication, critical or high vulnerabilities and blocking code smells. The pipeline also fails on red tests, SAST and DAST findings of high severity and dependency or secret scanner alerts. Everything surfaces in the pull request before merge.How do you manage technical debt?
TDD from the first test, mandatory code review, ADRs per decision and continuous refactor within each sprint. Debt is treated as regular work: it shows up in the backlog, gets prioritized and gets closed. SonarQube exposes debt trends per service and we review them in every retro.What SLOs do you offer in production?
Per-service SLOs with DORA metrics visible on a dashboard: deployment frequency, lead time, change failure rate and MTTR. Native observability with OpenTelemetry, Prometheus and Grafana, actionable alerts and optional oncall with documented runbooks.How does quality integrate with the client team?
We share the pipeline from sprint 1: same CI, same quality gates, same branches. Cross code reviews and pair programming on critical modules. If the client team works in parallel, we define OpenAPI contracts and contract testing with Pact between services so both sides can deploy independently.
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