Standard Operating Procedure: Software Development Lifecycle (SDLC)

This Standard Operating Procedure (SOP) defines the systematic approach for the development, testing, and deployment of software products within the organization. The objective is to ensure consistency, high code quality, security compliance, and efficient project delivery while minimizing technical debt and operational risk. All engineering staff are required to adhere to these standards to maintain our deployment velocity and system reliability.

Phase 1: Planning and Requirements

• Feature Specification: All requirements must be documented in the project management tool (e.g., Jira/Linear) with clear acceptance criteria.
• Technical Design Review: High-impact features require an architectural design document (RFC) reviewed by senior engineering staff.
• Effort Estimation: Assign story points or time estimates to tasks to ensure alignment with sprint velocity.
• Dependency Mapping: Identify external API dependencies or third-party service requirements before starting development.

Phase 2: Development and Version Control

• Branching Strategy: Utilize a Gitflow or Trunk-Based development approach. All work must occur on feature branches.
• Coding Standards: Adhere to the language-specific style guides (e.g., PEP8 for Python, Google Style Guides for Java/C++).
• Commit Hygiene: Ensure commit messages are descriptive and follow the Conventional Commits specification.
• Local Testing: Every feature must include local unit tests before a Pull Request (PR) is submitted.

Phase 3: Peer Review and Quality Assurance

• Pull Request Protocol: PRs must include a summary of changes, screenshots/videos for UI work, and evidence of test execution.
• Mandatory Review: A minimum of two senior/mid-level peer reviews is required before code is merged.
• Automated CI/CD: Code must pass all automated build, linting, and security scan (SAST) pipelines.
• QA Environment: Deploy to the staging/QA environment for functional validation and regression testing by the QA team.

Phase 4: Deployment and Monitoring

• Release Candidate: Final approval from the Product Manager is required before production deployment.
• Change Management: Document the release in the changelog and verify database migration scripts.
• Post-Deployment Verification (PDV): Execute automated smoke tests immediately following production deployment.
• Monitoring & Alerting: Verify that error tracking (Sentry/New Relic) is active and tracking the new release.

Pro Tips & Pitfalls

• Pro Tip: Implement "Feature Flags" to decouple deployment from release. This allows you to push code to production without exposing it to users until fully validated.
• Pro Tip: Prioritize "Small PRs." A PR with fewer than 200 lines of code is significantly easier to review and carries a lower risk of introducing bugs.
• Pitfall: Avoid "Merge Hell" by pulling the main branch into your feature branch daily to resolve conflicts early.
• Pitfall: Never bypass the CI pipeline. Security vulnerabilities often hide in code that "works locally" but fails standard security linting checks.

Frequently Asked Questions (FAQ)

Q: What should I do if a critical bug is found in production? A: Follow the Emergency Hotfix Protocol: Notify the Engineering Lead, create a branch from the current production tag, implement the fix, and bypass the standard sprint cycle only after secondary approval.

Q: Can I merge my own Pull Request if I have urgent deadline pressure? A: No. Peer review is mandatory for all code. Self-merging is a violation of the SOP and undermines our security and quality assurance processes.

Q: How often should I rebase my branch? A: You should rebase your branch against the main/develop branch at least once per day or whenever a significant change is merged into the main branch to ensure your code is compatible with the latest version.