Software Engineering Guide

Principles

• Outcomes over output: Shipping features isn’t enough—measure impact.
• Secure by default: Least privilege, encryption, and regular VAPT.
• Automate the boring stuff: CI/CD, tests, linting, and codegen where sensible.
• Small, reversible changes: Blue-green/Canary and feature flags.
• Observability: Logs, metrics, traces, alerts with on-call runbooks.

SDLC at a glance

1. Discovery & scope: personas, jobs-to-be-done, success metrics
2. Architecture & security review: diagrams, data flows, threat modeling
3. Implementation: trunk-based dev, CI/CD, code review
4. Testing: unit, contract, integration, E2E, performance
5. Release & operate: SLOs, error budgets, incident playbooks

Architecture patterns

• Event-driven microservices with async messaging
• API gateways, BFFs, and service meshes
• Data platforms: CDC pipelines, lakehouse, governance
• Edge and CDN caching strategies

Security & compliance

• Secrets management, key rotation, and MFA
• OWASP Top 10, SAST/DAST, dependency scanning
• PCI awareness for payments, data privacy controls
• DPIA and audit trails for regulated industries