9. SDLC in the Era of Agentic AI: Necessity or Overkill? скачать в хорошем качестве

9. SDLC in the Era of Agentic AI: Necessity or Overkill?

As enterprises rapidly embrace AI agents and agentic systems to revolutionize decision-making and automation, the question arises: Are Software Development Lifecycle (SDLC) solutions critical to the future of Agentic AI? Join Scott Hebner, host of the Next Frontiers of AI, and Paul Nashawaty , renowned industry analyst and expert in Application Development, modernization, and Software Development Lifecycle (SDLC) solutions, as they consider the role of SDLC in agentic systems development. • Are software development skills essential? • Will software developers also need to become data scientists? • Does the complexity spectrum—from no-code to autonomous AI—dictate SDLC platforms? • When will SDLC platforms be critical, beneficial, or potentially overkill? • Will we see an integration of Jira, GitHub, Docker, Kubernetes, MLOps, etc. with AI platforms? Tune in for a thought-provoking conversation on bridging traditional software engineering practices with the revolutionary demands of AI-driven innovation. 00:00 - Intro 00:06 - Exploring AI's Future: From Agentic Development to No-Code Innovations 02:41 - Role of AI in Software Development Automation 04:59 - Case Study Insight: AI Integration with IBM and AWS 07:35 - Growth in AI-Driven Applications: Statistics and Trends 10:48 - Examining the Developer Role: Transition to Data Science 13:57 - Low-Code and Citizen Developers: Shifting Development Roles 17:32 - AI Impact on Software Development Lifecycle (SDLC) 19:40 - Integrating AI Agents into SDLC: Strategies and Benefits 23:48 - Need for Unified SDLC Platforms: Challenges and Resolution 28:10 - Charting the Future: The Strategic Evolution and Necessity of AI in Innovation