Six Pillars of Engineering Quality
Our technical standards span six domains — from the first line of code to production monitoring. These are verified on every project during code review, QA, and pre-launch audits.
Code Quality
- All code reviewed by a senior engineer before merging
- TypeScript enforced across all JavaScript/Node.js projects
- ESLint + Prettier on every commit via pre-commit hooks
- Cyclomatic complexity limits enforced via static analysis
- 80% unit test coverage minimum, 60% integration coverage
- No direct console.log in production — structured logging only
Version Control & CI/CD
- Trunk-based development with feature flags for large changes
- All deployments via CI/CD — zero manual production deploys
- GitHub Actions: lint → test → build → deploy pipeline on every PR
- Environment parity enforced: dev / staging / production always in sync
- Automated dependency updates via Dependabot with weekly audits
- All production releases tagged with semantic versioning
Security Standards
- OWASP Top 10 review conducted on every production system
- Secrets managed via environment variables — never hardcoded
- HTTPS enforced on all endpoints with HSTS headers enabled
- SQL injection prevention via parameterized queries and ORMs
- Regular dependency vulnerability scans (npm audit, pip audit)
- Rate limiting and input sanitization on all public-facing APIs
Documentation Standards
- All public APIs documented with OpenAPI 3.0 specification
- Architecture Decision Records (ADRs) for all major technical decisions
- README files include local dev setup, env vars, and deploy instructions
- Data flow diagrams required for all systems handling PII
- Runbooks for all production incident and recovery scenarios
- Inline code comments required for all non-obvious logic
Testing Protocol
- Unit tests for all business logic with mocked dependencies
- Integration tests for all API routes and database interactions
- End-to-end tests for all critical user flows before each release
- Performance testing on every major feature against SLA thresholds
- Security penetration testing before every production launch
- Regression suite run on every pull request via automated CI
Infrastructure Standards
- Infrastructure-as-code via Terraform for all cloud resources
- Containerized workloads with Docker for environment consistency
- Auto-scaling policies configured before production go-live
- Database backups automated at minimum every 24 hours
- Disaster recovery procedures documented and tested quarterly
- Uptime monitoring and alerting configured on day one of production
Performance Benchmarks
Every system we ship is benchmarked against these targets before production go-live. SLA agreements reference these metrics explicitly.
MetricTargetMeasurement
Core Web Vitals (LCP)< 2.5sLighthouse
API Response Time (p95)< 300msProduction APM
Time to First Byte< 200msServer metrics
Database Query (p95)< 100msQuery profiling
Production Uptime SLA99.9%30-day rolling
Error Rate< 0.1%Error tracking
Modular Architecture Principles
Our systems are structured around four layers of responsibility, enforced at the dependency, data, and API boundary level — not just folder organization.
01
Presentation Layer: UI components organized by domain. Server Components for data-fetching; Client Components only for interactivity.
02
Application Layer: Use-case handlers, validation, and orchestration logic. No direct database access. Pure functions where possible.
03
Domain Layer: Business entities, rules, and value objects. Zero external dependencies. 100% unit testable.
04
Infrastructure Layer: Database adapters, API clients, email providers. Swappable implementations behind interface contracts.
IP & Ownership Policy
Upon full payment of agreed milestones, clients receive 100% ownership of all custom code, designs, and deliverables produced for their project.
Full source code handoff at each milestone
No Modulifyr branding in client deliverables
IP rights confirmed in signed SOW
Proprietary frameworks licensed separately if used