About This Event
We're excited to launch the Warsaw Software Architecture Group with our first meetup! This event will feature three excellent presentations covering software architecture topics.
This is a great opportunity to meet fellow software architects, share knowledge, and build our local architecture community.
Agenda
- 18:00
Welcome & Networking
Registration and networking
- 18:10
Capability Mapping & RACI / DACI Matrix - in Practice
Kamil Kiełbasa
in Polish30 minCapability Mapping and RACI / DACI matrices are simple yet highly effective tools that help organize how an organization operates. During this presentation, I will show how to use them in practice to understand and design decision-making flows, clear division of responsibilities, and conscious selection of required skill sets.
Using real-world examples, we will discuss how these techniques support architects and leaders in building organizations that make decisions faster, operate more cohesively, and better handle scale and change. - 19:05
Beautiful Code Is Not Enough – My 100k PLN Startup Course
Maciej Kacprzak
in Polish30 minIf you're a programmer thinking about starting your own startup, this presentation will help you avoid the mistakes I paid about 100k PLN for. Using my startup as an example, I'll show why beautiful code and polished architecture are not enough. Without sales, marketing, and constant validation with customers who actually pay money, not just praise your idea, even the best-written application has little chance of survival. I'll share the key mistakes in thinking, assumptions, and business decisions I made along the way – so you can see them from the outside before investing your own time and money.Materials - 20:00
The Forgotten Art of Thinking. How to Learn with LLMs Without Increasing Cognitive Debt?
Tomasz Ducin
in Polish30 minThere is research showing that using LLMs leads to incurring "cognitive debt" - people intellectually take shortcuts. An LLM generates a wall of text, the operator may not even read it - and a false impression is created that "the job is done." This applies to research (not verifying sources - e.g., an LLM citing non-existent studies - ouch, politicians!), coding ("I don't read what I push to production") - but also - and this is our focus - learning.
What if LLMs are a tool that simultaneously elevates to great heights - and terrifyingly dumbs down (and everything in between)? LLMs are "just a tool" - great, great. But how do you use it in practice to maximize those "heights" and minimize the dumbing down?
When generating text/code becomes cheap, understanding and decision-making become relatively more expensive.
We'll reach for the fundamentals of cognitive science and dust off the foundations of "critical thinking," then apply "learning with LLMs" in practice - using diverse techniques/methods/tools to build your own understanding (and mental models) about a given topic, verification methods, methods of "going deeper" (not just "there are always many levels deep" - but also - where to stop) - and many other practical tips.Materials - 20:55
Closing & Networking
Final Q&A and networking