Software Development Life Cycle - A systematic process for planning, creating, testing, and deploying software systems. Effective use of this practice reduces bugs in production and supports a culture of quality-driven development.
SDLC
SDLC, the Software Development Life Cycle, is the structured process a team uses to plan, build, test, deploy, and maintain software. It breaks the messy reality of shipping software into recognizable phases - requirements, design, implementation, testing, release, and operation - so that quality checks and hand-offs happen deliberately rather than by accident. The particular flavor of SDLC a team follows can be sequential or iterative, but the goal is the same: a repeatable path from idea to running system.
- Defined phases - Planning, design, development, testing, deployment, and maintenance give the work a shared shape.
- Quality gates - Review, testing, and sign-off checkpoints catch defects before they reach production.
- Repeatability - A named process makes outcomes predictable across teams and releases instead of hero-driven.
- Framework-agnostic - Waterfall, iterative, and agile approaches like Scrum are all ways of walking the same cycle.
In real API operations, the SDLC becomes the API lifecycle: design-first workflows produce a contract, that contract drives mocks and tests, CI/CD moves versioned changes to production, and governance rules gate each transition. Wiring the lifecycle into GitHub, GitLab, or BitBucket is where the abstract phases become concrete pull requests and pipeline steps. Folding security into that cycle - the shift toward SecOps and secure defaults early rather than late - is the modern refinement, and the same discipline is what keeps agent-generated code and API changes reviewable before they ship.
Referenced on the API Evangelist blog
Where this standard shows up across sixteen years of my writing at apievangelist.com — how it fits into API design, governance, and the agentic turn.
