What problem does it solve? Teams struggle to choose the right software delivery model, testing strategy, and CI/CD practices amid conflicting advice and hype. This Skill provides an evidence-grounded reference covering the full software development lifecycle so decisions are based on research (DORA, METR, SmartBear studies) rather than opinion. ## Core Features & Use Cases - SDLC Model Selection: Compare Waterfall, V-Model, Spiral, RUP, Scrum, Kanban, and hybrid approaches using the Cynefin framework matched to requirements volatility and regulatory constraints. - Testing & Quality Strategy: Apply the testing pyramid, trophy, and honeycomb models with concrete tooling guidance (Playwright, TestContainers, Pact, k6, mutation testing) and empirical code review limits (under 400 LOC, 60-90 minutes). - CI/CD, DevSecOps & AI-Era Practices: Implement trunk-based development, DORA metrics, SLSA/Sigstore supply-chain security, and evidence-based AI-assisted development guardrails. - Use Case: A tech lead designing a delivery pipeline for a regulated product can get guidance on V-Model applicability, SBOM requirements under EO 14028, contract testing with Pact, and DORA metric targets in one place. ## Quick Start Ask the assistant to recommend an SDLC model and testing strategy for your project context, such as a microservices platform with a compliance requirement.
