AI patterns Archives - Scrum Master Toolbox Podcast

AI Assisted Coding: Building Reliable Software with Unreliable AI Tools

In this special episode, Lada Kesseler shares her journey from AI skeptic to pioneer in AI-assisted development. She explores the spectrum from careful, test-driven development to quick AI-driven experimentation, revealing practical patterns, anti-patterns, and the critical role of judgment in modern software engineering.

From Skeptic to Pioneer: Lada’s AI Coding Journey

“I got a new skill for free!”

Lada’s transformation began when she discovered Anthropic’s Claude Projects. Despite being skeptical about AI tools throughout 2023, she found herself learning Angular frontend development with AI—a technology she had no prior experience with. This breakthrough moment revealed something profound: AI could serve as an extension of her existing development skills, enabling her to acquire new capabilities without the traditional learning curve. The journey evolved through WindSurf and Claude Code, each tool expanding her understanding of what’s possible when developers collaborate with AI.

Understanding Vibecoding vs. AI-Assisted Development

“AI assisted coding requires judgment, and it’s never been as important to exercise judgment as now.”

Lada introduces the concept of “vibecoding” as one extreme on a new dimension in software development—the spectrum from careful, test-driven development to quick, AI-driven experimentation. The key insight isn’t that one approach is superior, but that developers must exercise judgment about which approach fits their context. She warns against careless AI coding for production systems: “You just talk to a computer, you say, do this, do that. You don’t really care about code… For some systems, that’s fine. When the problem arises is when you put the stuff to production and you really care about your customers. Please, please don’t do that.” This wisdom highlights that with great power comes great responsibility—AI accelerates both good and bad practices.

The Answer Injection Anti-Pattern When Working With AI

“You’re limiting yourself without knowing, you’re limiting yourself just by how you formulate your questions. And it’s so hard to detect.” Continue reading AI Assisted Coding: Building Reliable Software with Unreliable AI Tools

AI Assisted Coding: Treating AI Like a Junior Engineer – Onboarding Practices for AI Collaboration

In this special episode, Sergey Sergyenko, CEO of Cybergizer, shares his practical framework for AI-assisted development built on transactional models, Git workflows, and architectural conventions. He explains why treating AI like a junior engineer, keeping commits atomic, and maintaining rollback strategies creates production-ready code rather than just prototypes.

Vibecoding: An Automation Design Instrument

“I would define Vibecoding as an automation design instrument. It’s not a tool that can deliver end-to-end solution, but it’s like a perfect set of helping hands for a person who knows what they need to do.”

Sergey positions vibecoding clearly: it’s not magic, it’s an automation design tool. The person using it must know what they need to accomplish—AI provides the helping hands to execute that vision faster. This framing sets expectations appropriately: AI speeds up development significantly, but it’s not a silver bullet that works without guidance. The more you practice vibecoding, the better you understand its boundaries. Sergey’s definition places vibecoding in the evolution of development tools: from scaffolding to co-pilots to agentic coding to vibecoding. Each step increases automation, but the human architect remains essential for providing direction, context, and validation.

Pair Programming with the Machine

“If you treat AI as a junior engineer, it’s very easy to adopt it. Ah, okay, maybe we just use the old traditions, how we onboard juniors to the team, and let AI follow this step.”

One of Sergey’s most practical insights is treating AI like a junior engineer joining your team. This mental model immediately clarifies roles and expectations. You wouldn’t let a junior architect your system or write all your tests—so why let AI? Instead, apply existing onboarding practices: pair programming, code reviews, test-driven development, architectural guidance. This approach leverages Extreme Programming practices that have worked for decades. The junior engineer analogy helps teams understand that AI needs mentorship, clear requirements, and frequent validation. Just as you’d provide a junior with frameworks and conventions to follow, you constrain AI with established architectural patterns and framework conventions like Ruby on Rails.

The Transactional Model: Atomic Commits and Rollback

“When you’re working with AI, the more atomic commits it delivers, more easy for you to kind of guide and navigate it through the process of development.” Continue reading AI Assisted Coding: Treating AI Like a Junior Engineer – Onboarding Practices for AI Collaboration

BONUS: AI-Driven Agile, Speeding Up Feedback Cycles for Better Product Iteration, And More AI Transformations with Jurgen Appelo

In this BONUS episode, leadership expert and entrepreneur Jurgen Appelo joins us to dive into the transformative power of AI in today’s workplaces. Creator of the unFIX model and author of Management 3.0, Jurgen shares his insights on how AI is revolutionizing team collaboration, creativity, and innovation. This engaging conversation covers practical examples, personal stories, and thought-provoking ideas for anyone interested in leveraging AI to thrive in their career and business.

AI and the Future of Collaboration

“AI gives me more time to focus on the things I really enjoy.”

Jurgen kicks off by discussing the major changes AI is bringing to how teams collaborate and get work done. He highlights how AI tools like ChatGPT are enhancing feedback loops in product development, allowing teams to gain insights faster and more efficiently. Jurgen shares how he’s used AI to improve his own writing, helping his editor focus more on storytelling rather than grammar corrections. For teams, AI is already making client interactions smoother and boosting productivity.

“AI gives teams more time to focus on creativity and innovation by automating repetitive tasks and improving workflow efficiency.”

AI as an Assistant or Creative Partner?

Continue reading BONUS: AI-Driven Agile, Speeding Up Feedback Cycles for Better Product Iteration, And More AI Transformations with Jurgen Appelo