Software Development Lifecycle (SDLC)
AssessTechniques
The traditional process framework for planning, building, testing, deploying, and maintaining software.
Why it's here
Placed in Assess: 2 article(s) of evidence from 2 source(s), led by framework updates, with 2 in the last 30 days. Confidence 37%.
Evidence (2)
- 4InfoQ·8/4/2026researchLizzie Matusov’s AI Maturity Framework for Engineering Teams
Lizzie Matusov of Quotient describes why rising AI spending often does not translate into better software delivery. She introduces a research-backed framework for assessing AI maturity in engineering organizations and identifying bottlenecks across the software development life cycle.
- 7Cloudflare Blog·8/4/2026framework_updateCloudflare Introduces the Agent Development Lifecycle
Cloudflare says AI agents are changing software development faster than traditional SDLC assumptions can handle, and argues for an Agent Development Lifecycle (ADLC) designed for software factories. The company is launching new tools for agent-oriented CI/CD, local observability with OpenTelemetry, and agent tracing to help agents build, test, deploy, and maintain software more autonomously.