Spec-First Engineering for Mission-Critical Systems with Claude Code | Jakub Walczakl | Agile Product Builders in 25 minutes

Who owns the product when AI decides? | Product Builders | AI-Native #3 | PRODUCT

Design ownership isn't disappearing – it's shifting, quietly, into systems that don't wait for a review meeting. And most teams haven't decided who's supposed to catch that. 🎙️ In this session, Anna Zarudzka (co-CEO, Boldare) and Kamil Marczak (Product Designer, Boldare) explore what it actually means to own product decisions when AI is already making them. We cover: - Why "the model did it" isn't an accountability structure - Where design ownership needs to sit in an AI-native team – and what happens when it sits nowhere - How to organize decision rights before AI fills the vacuum From roadmap prioritization to UX flows to agentic systems shipping changes on their own – this conversation asks who's actually in charge, before the first serious failure forces the question. Community for teams building digital products in the AI era. Powered by Boldare.

Designing for Human-AI Interaction | Product Builders | AI-Native #2 | PRODUCT

Adding AI to a product is easy. Designing meaningful human-AI interaction is something else entirely. Human-AI interaction isn't a new frontier – it's the next chapter of automation, human-machine relationships, and experience design, now playing out at an unprecedented scale. 🎙️ In this session, Anna Zarudzka (co-CEO, Boldare) and Dr Agata Jałosińska (Human-Data Interaction researcher, SWPS University) explore what it actually takes to design products that work with AI – not just products that include it. We cover: Three research-based frameworks that give product teams the language to describe human-AI interaction before they design it Where human control sits – and whether it belongs there What users actually need to trust, correct, and meaningfully direct AI behavior From self-driving cars to GitHub Copilot to agentic systems where AI increasingly talks to AI – this conversation asks the questions most product teams skip. Community for teams building digital products in the AI era. Powered by Boldare.

3 Steps to an AI-Augmented Design Team | Product Builders | AI-Native #1 | PRODUCT

Adding AI to a product is easy. Designing meaningful human-AI interaction is something else entirely. Human-AI interaction isn't a new frontier – it's the next chapter of automation, human-machine relationships, and experience design, now playing out at an unprecedented scale. 🎙️ In this episode, Anna Zarudzka (co-CEO, Boldare) and Dr Agata Jałosińska (Human-Data Interaction researcher, SWPS University) explore what it actually takes to design products that work with AI. We cover: The cognitive traps product and design teams fall into The challenge of mapping real human-AI collaboration step by step The evolving design principles shaping interfaces as AI agents increasingly talk to each other – and to us Community for teams building digital products in the AI era. Hosted by Boldare.

Spec-First Engineering for Mission-Critical Systems with Claude Code | Jakub Walczakl | Agile Product Builders in 25 minutes

Spec-First Engineering for Mission-Critical Systems with Claude CodeYou’re no longer asking whether AI belongs in your development process. That debate is over. The real question is: what do we need to define before AI writes anything at all?. The real challenge? Moving from impressive demos to predictable, production-ready AI.Most AI-generated code fails not because of the AI itself, but because of vague requirements, missing edge cases, and no shared understanding of "done". In mission-critical systems, failure is simply not an option. In this focused session, Piotr Majchrzak, Co-CEO of Boldare, is joined by Jakub Walczak, Senior Software Engineer, to discuss Spec-First Engineering — a methodology that puts detailed specification before a single line of code is written. 👉 Join the Agile Product Builders Community: https://www.boldare.com/apb-community-newsletter/

Claude Code Experts: Why does AI fail in Java teams - and how to make it production-ready? | Maciej Król | Agile Product Builders in 25 minutes

You’re not questioning whether AI belongs in your SDLC process. But we all know: there’s a big gap between AI demos and the reality of large backend systems. 2026 is no longer the time to question whether it makes sense to implement AI into the development process. Now we all know – from individual engineers, through teams, leaders, and boards – that it makes sense from a process, financial, and team composition perspective. Having worked on enterprise backends for over 20 years and being AI-native engineers, we invite you to join us for a 25-minute session where we will share our best practices:  * How to ensure predictability and control of AI in large systems  * Practical use cases of AI in daily engineering work (help with refactoring, testing, and code reviews)  * How to safely implement AI in production (without risking quality and performance)  * How to scale AI within an organization (from pilot projects to full adoption, building standards)  * Dealing with skepticism and resistance to AI in development teams – whether you’re an engineer or leading the team  The session will be led by Piotr Majchrzak, co-CEO of Boldare, with special guest Maciej Król, Senior Software Engineer at Boldare with over 8 years of experience in software development, primarily in Java-based systems, and an AI practitioner. 👉 Join the Agile Product Builders Community: https://www.boldare.com/apb-community-newsletter/