"If you're using Replit then its going to be different than if using Claude Code, and if you're going to use a mix of Agentic SDLCs then you absolutely need to think about that."
"This is where Agentic SDLCs are causing a fundamental break with the Agile principles, because Agentic SDLCs are too fast for Agile."
"AI is highly effective at building software that appears to work, or at least works for the very specific instructions it was given, making documentation and architectural planning more critical than ever."
"Agile is not the Manifesto, and it is certainly not about frameworks. Agile is about creating adaptive and learning organisations that can respond"
Agentic SDLC systems, in which AI agents perform significant development work, fundamentally contradict the Agile Manifesto's four core values and twelve principles. Tools now shape outcomes strongly, creating differences between platforms such as Replit and Claude Code and requiring deliberate consideration when combining agentic SDLCs. The speed of AI-driven development reduces cycle times from weeks to minutes or hours, making traditional sprint cadences and planning processes appear obsolete. AI frequently produces working software quickly but can accumulate technical debt and produce brittle, narrowly scoped solutions that match only exact instructions. Documentation, architectural planning, and tooling decisions become more critical to manage hidden failures and maintain long-term quality. A contrasting view holds that Agile focuses on creating adaptive, learning organisations rather than fixed frameworks, implying principles can evolve alongside AI.
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