Agentic AI Slop vs. AI XP Excellence? Iteration, Batch Size, Testing, and the Future of Dev Work

In this episode of the Mob Mentality Show, we dive into the growing tension between the fast rise of Agentic AI systems and the foundational principles of Extreme Programming (XP) and Lean Software Development. As more teams experiment with multi-agent LLM orchestrators like Claude, GPT-4, and others, does the risk of generating untested, low-quality "AI slop" increase—unless guided by tight feedback loops, small batch sizes, and real tests? We ask: - Can Agentic AI truly support Agile and XP practices—or is it working against them - Are we moving toward AI-driven productivity or just automating chaos faster? - What practices can keep teams grounded as tools grow more autonomous? Join hosts Austin Chadwick and Chris Lucian as they explore: - The difference between AI-assisted XP excellence and Agentic AI slop - Real-world dev experiences using multi-agent architectures - How to apply small iterations, pairing/mobbing, and test-first thinking in AI-augmented workflows - The pitfalls of Agentic orchestration without lean guardrails - Why mob programming and XP might be the missing link in managing AI complexity - Tips for maintaining engineering rigor in a world of AI copilots and task runners If you're experimenting with AI in software teams—or trying to balance automation with craftsmanship—this conversation is packed with insights, practical takeaways, and a few strong opinions. 📢 Share this episode with anyone navigating the messy intersection of AI tools and solid software practices. Video and Show Notes: https://youtu.be/efW8eaOGL28