Look at all the great low-code content you get in the book
Chapter 1 - Basic low-code questions
- What is NOT low-code?
- So, what is low-code then?
- Is low-code for me? Can I trust low-code has a bright future?
Chapter 2 - How to create my first low-code application?
- What is the typical high-level architecture of a low-code platform?
Chapter 3 - What do I need to model?
- Is UML still relevant today?
- How do I model the data the app will manage?
- How do I model the application logic?
- How do I model the UI of the app?
- Do I need to manually generate all the models?
- How can I be sure my models are good?
- How do I model this other specific dimension that it’s so important for my project?
Chapter 4 - How do I get my app from the models?
- Executable models
- Model interpretation vs model compilation
- Getting your app up and running via model interpretation
- Getting your app up and running via model compilation
Chapter 5 - Can I use low-code to generate AI apps?
- How do I model AI features of smart software systems in low-code tools?
- Can I create pure AI components using a low-code approach?
- Modeling a smart system goes beyond modeling the desired behaviour, you need to care about ethical modeling!
Chapter 6 - What low-code tool should I use?
Chapter 7 - How to improve the chances of success of my low-code project?
Chapter 8 - How to build my own low-code tool?
- What are the first steps?
- How to create my own modeling language
- How to create my own code generator
Chapter 9 - How low-code relates to these other software development concepts?
- Is low-code compatible with agile methodologies?
- Is no-code the same as low-code?
- Low-code/no-code approaches
- Is Generative AI going to kill low-code?
- Is low-code compatible with domain-driven design approaches?