Modular Flutter App Architecture: Answering the What, When and How

Modular Flutter App Architecture: Answering the What, When and How

2025

As Flutter apps grow, modular architecture is key for managing complexity. This talk explores when to adopt it, how to organize code into feature, layer, and core modules, and best practices for module communication, state management, and testing.
This talk introduces AndroidEnv, a Python library that turns Android devices into RL environments. It explores how to design reward systems in model-free RL, using algorithms like DQN and Q-learning to demonstrate how rewards shape an agent’s learning and goal achievement.
How can you speed up time to market? This session shows how an IDP aligns teams, integrates diverse programming languages, and automates processes. Learn best practices for leveraging cloud environments and CI staging to boost collaboration, productivity, and software delivery.
We built our SaaS for 3 months without using it ourselves. The result: nobody liked it. Once we started dogfooding with UX audits, things turned around quickly. In this talk we will explore how SaaS companies can establish a regular UX audit process and a feedback culture that helps to quickly understand issues and iterate on them.
Integrating AI was more than a technical upgrade – it was a transformative process across our organization. Despite regulatory hurdles, AI boosted efficiency, flexibility, and compliance. Learn how we overcame challenges, aligned with stakeholders, and turned use cases into real business value.
Scaling agile methods can be challenging, with frameworks like SAFe or Scrum@Scale often feeling bureaucratic. We share insights from our journey, showing how we adapted our organizational structure to scale agile practices, ensuring fast, user-centric product development and sustainable employee satisfaction.
This talk explores how focusing on team flow can lead to predictable delivery. Using the metaphor of road traffic congestion, it shows how to shift from estimation-driven planning to data-based forecasting, helping manage expectations and achieve more predictable outcomes.
This talk presents an automated solution using machine learning and knowledge graphs to streamline CO2 footprint analysis and sustainable building certification. We’ll explore how these technologies address unstructured data challenges, enabling efficient, scalable climate action plans and certifications for buildings and urban districts.
Many of today’s products have machine learning in them – recommendations, drug development, fraud detection, ad targeting. In this talk you will learn how predictive ML products are typically developed, and how genAI offers an alternative. When should you use which?