Stellar Work20 Maj 2024

#1 Paolo Sammichelli - Agile Hardware

Paolo Sammicheli, a Scrum trainer, discusses the application of Scrum in hardware development projects. He highlights the importance of visualizing and challenging the decisions made during the development process. He emphasizes that every project, regardless of the domain, involves making and embedding decisions. Paolo shares examples of hardware projects he has worked on, including IoT platforms, industrial machinery, and civil engineering projects. He also addresses the challenges of implementing Scrum in construction and production environments. Paolo emphasizes the need for effective coaching and rapport-building to encourage teams to embrace retrospectives and continuous improvement. He explains that Scrum helps mitigate cognitive biases and imperfections in decision-making, leading to better products with less effort. The discussion also delves into the intersection of AI and product development, emphasizing the importance of combining human and machine intelligence for optimal results. The potential biases and ethical considerations associated with AI models are touched upon as well.

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#68 Yevgen Nebesov - The architecture of power

Outcome equals intelligence plus agency. AI is making the first part cheap. Yevgen Nebesov has spent five years mapping the second.Yevgen is a systems architect who watched too many good ideas in his ...

19 Okt 37min

#67 Prateek Karnal - Orchestrating the Agent Army

Most people lose track at three coding agents. Prateek Karnal runs ten to twenty at once.Prateek built Agent Orchestrator (AO) after working on AI infrastructure at Composio, where the company was alr...

5 Okt 46min

#66 Petra Wille - How to lead a product org in the age of AI

Petra Wille thinks measuring your team's token usage is one of the worst things a leader can do right now. She explains what to measure instead.Petra is a product leadership coach, author of STRONG Pr...

21 Sep 34min

#65 Matt LeMay - The Low-Impact AI Death Spiral

Matt LeMay thought product teams had finally outgrown the feature factory. Then AI handed everyone a faster conveyor belt.Matt is a product consultant and author who has worked with Google, Spotify, a...

7 Sep 39min

#64 Laura Tacho - You weren't measuring well before AI either

AI did not break engineering metrics. It made it obvious that most companies never had any worth trusting.Laura Tacho spent 15 years building developer tools, ran DX as CTO, and now works on developer...

24 Aug 26min

#63 Teresa Torres - Taste won't save your product

Teresa Torres calls the "all you need is taste" narrative what it is: Silicon Valley elitism dressed up as product wisdom.Five years after Continuous Discovery Habits, Teresa has gone from product dis...

10 Aug 38min

#62 Barbara Lampl - There is no such thing as AI strategy

If your leadership is discussing which AI tool to buy, they are having the wrong discussion.Barbara Lampl has built and fixed data and AI strategies for over 20 years. Behavioral mathematician, known ...

27 Juli 34min

#61 Thomas Dohmke - Let the rebellion begin

Thomas Dohmke predicted AI would write 80% of code within five years. The number held. The timeline didn't. It took three.Thomas ran GitHub as CEO through the Copilot years. Now he's building Entire, ...

13 Juli 44min