Core Viewpoint - The debate initiated by Steve Jones from Capgemini claims that "AI has killed the Agile Manifesto," arguing that AI's role in the software development lifecycle (SDLC) fundamentally contradicts the core values and principles of Agile [2][11]. Summary by Relevant Sections AI's Impact on Agile Principles - Jones highlights several key challenges in applying Agile to AI-driven SDLC, emphasizing the importance of tools and the significant differences in scenarios when using various AI tools like Replit and Claude Code [2][11]. - The Agile principle of "individuals and interactions over processes and tools" is contradicted by the current reliance on tools in AI development [3][11]. - The speed of AI development creates a fundamental divergence from Agile principles, as AI can generate usable applications in hours, making traditional two-week sprint cycles seem outdated [3][11]. Concerns Over Documentation and Technical Debt - Jones questions the Agile principle of "working software over comprehensive documentation," noting that while AI can generate seemingly functional software quickly, it may lead to unprecedented levels of technical debt [3][12]. - The efficiency of AI in creating software according to specific instructions makes documentation and architectural planning more critical than ever [12]. Industry Reactions and Perspectives - Rolf Läderach from Sandvik argues that Agile is not merely a manifesto or framework but a core philosophy focused on creating adaptive learning organizations, which AI supports [4][13]. - Sonya Siderova from Nave suggests that Agile is not dead but is optimizing a shifted bottleneck, where the focus has moved from human collaboration to decision-making on what to build and validating its effectiveness [5][15]. - Kent Beck, one of the original signatories of the Agile Manifesto, explores "augmented coding," which maintains traditional software engineering values while allowing AI to handle much of the coding work [5][15]. New Frameworks and Future Directions - Casey West proposes an "Agent Manifesto" that adapts the original Agile values for autonomous AI systems, shifting the focus from "verification" to "confirmation" of achieving expected goals [7][16]. - Amazon Web Services suggests that sprint planning must evolve into "intent design," where architecture serves as a scaffold rather than a rigid script for every decision path [7][16]. - Forrester's report indicates that 95% of professionals believe Agile is crucial for their operations, with 61% having deployed Agile practices for over five years, suggesting a strong foundation for integrating Agile with generative AI [7][16]. Call for New Methodologies - Jones acknowledges that not all current Agile practices are without value but insists that methods designed for human teams cannot be directly applied to AI-driven development [8][17]. - The debate raises fundamental questions about whether Agile is a specific methodology tied to practices like sprints and stand-ups or a broader philosophy focused on adaptability and learning [8][17]. - Eric Newcomer comments on the need for a new declaration, suggesting that bureaucratic issues have long hindered Agile even before the advent of AI [8][17].