Software Development Lifecycle
AssessTechniques
The traditional process model for planning, building, testing, deploying, and maintaining software.
Why it's here
Placed in Assess: 4 article(s) of evidence from 3 source(s), led by framework updates, with 2 in the last 30 days. Confidence 56%.
Evidence (4)
- 6The New Stack·9/23/2026researchJensen Huang says AI will reshape junior developer roles within two years
Nvidia CEO Jensen Huang argued that AI will not eliminate software engineering, but will automate tasks within the job while preserving the broader purpose of engineering. He said junior developers will need to learn with AI agents now, predicting that a new wave of AI-native graduates will enter the workforce in about two years with an advantage. He also warned that some lower-level skills may fade as engineers move to higher-level system thinking.
- 6InfoQ·9/21/2026framework_updateCloudflare Proposes an Agent Development Lifecycle for AI Software
Cloudflare has introduced the Agent Development Lifecycle, a new approach for building and operating AI-driven software agents. The company says it is designed to reduce bottlenecks in testing, deployment, observability, and maintenance compared with traditional SDLC processes.
- 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.