Our Development Methodology
Agile-first, documentation-backed, and built for enterprise scale. A repeatable process that delivers predictable results.
The two-week sprint cycle
Every feature moves through a disciplined cycle — plan, build, test, review, demo, repeat.
Sprint Planning
At the start of each sprint, we refine the backlog, define acceptance criteria, estimate story points, and set a clear sprint goal. You approve the plan before any code is written.
Development
Developers work feature branches with daily stand-ups. Code is peer-reviewed before merging — we enforce a strict two-reviewer minimum on all pull requests.
Automated Testing
Every merge triggers our CI pipeline — unit tests, integration tests, static analysis, and security scans. Code that fails CI doesn't ship. Period.
QA & Staging
Features are deployed to a staging environment for functional QA, regression testing, and performance profiling before client review.
Sprint Demo
End of every sprint: a live demo with your team. You see real, working software — not slides. Feedback is logged and prioritised into the next sprint.
Retrospective
Every sprint ends with an internal retrospective — what worked, what didn't, what to improve. Continuous process improvement is baked in.
Standards that prevent problems
CI/CD Pipeline
- Automated builds on every push
- Zero-downtime blue/green deployments
- Automated rollback on deployment failure
- Environment parity: dev → staging → production
Code Quality
- Minimum 2-reviewer PRs — no exceptions
- Static analysis (ESLint, SonarQube, Pylint)
- >80% unit test code coverage required
- Dependency vulnerability scanning (Snyk)
Documentation
- Technical architecture document (TAD)
- API documentation (Swagger / OpenAPI 3.0)
- Database schema + ERD diagrams
- Deployment and operations runbook
Tools We Use
- Project tracking: Jira / Linear
- CI/CD: GitHub Actions / GitLab CI
- Communication: Slack / Google Meet
- Design handoff: Figma