Software Design & Review Workshop
(For software developers and aspiring software architects)
Whether written by a person or generated by AI, developers need to understand and assess source code (at least for now). In this practical workshop, you learn to recognize the most important characteristics of bad code, understand responsibilities and dependencies, and make informed decisions about generating code with AI.
This course prepares you for our Software Architecture course. We focus on "internal software design"—the design of source code within components. This helps keep AI-generated code understandable and maintainable.
Further topics, such as architecture work, system-level decisions and architectural patterns, are covered in the advanced course "Software Architecture Foundations".
Learn:
How to recognize problematic code with top-to-bottom and macrooptical analysis
How to develop and assess internal software design using an intention diagram and design principles
How to improve code through refactoring and safeguard changes with tests
How Functional Design, IOSP and PoMO help separate secondary aspects
How to review human-written and AI-generated code and explain design trade-offs
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How to recognize problematic code with top-to-bottom and macrooptical analysis
-
How to develop and assess internal software design using an intention diagram and design principles
-
How to improve code through refactoring and safeguard changes with tests
-
How Functional Design, IOSP and PoMO help separate secondary aspects
-
How to review human-written and AI-generated code and explain design trade-offs
References
Workshop
Content
Show details
Normal
2 Days
2d
Internal design and software architecture
Quality goals, change and responsibilities
Top-to-bottom analysis
Project structure and modularization
File structure and naming
Macrooptical analysis
Code smells
Refactoring and the Boy Scout Rule
Important refactorings
Example / live coding
Safeguarding changes with existing tests
Single Responsibility Principle
Open Closed Principle
Liskov Substitution Principle
Interface Segregation Principle
Dependency Inversion Principle
Exercise
Code pollution by secondary aspects
IOSP - Integration Operation Segregation Principle
PoMO - Principle of Mutual Oblivion
Intention diagram
Best practices for software design
Cohesion, coupling and abstraction
Exercise
Evaluating human-written and AI-generated code against requirements
Identifying edge cases, dependencies and unsupported assumptions
Using AI responsibly for analysis and improvement
Prioritizing review findings and creating a checklist
Certificate of participation
per participant, plus VAT and travel costs according to expenditure
1,190 €
First-hand consultation
For individuals
- Open training for single participants.
- Book individually.
- Remote.
Upcoming Dates
Dates on request.
For companies
(minimum 4 participants)
- On your demand.
- Book exclusively for your team.
- On site or remote.
- Traveling cost according to expenditure
Your benefit
- Practical exercises with a shared case study and feedback.
- Design and code reviews for human-written and AI-generated code.
- In-house or remote in German or English.
- Certificate of participation for all participants.
Verified Open Badge
Certification System
Certification
With our certificates, you can officially document the skills you have acquired. This provides clear proof for employers, projects, or internal qualifications. Learn more about our certification system here.
- 90 minutes
- Multiple choice ⦁ live coding ⦁ interview.
- Verified open badge
- PDF certificate
- 200 €, plus VAT
You ask, we answer
What prior knowledge is required? 
Participants should have practical programming experience and be comfortable with their development environment. In-depth architecture knowledge and experience with a particular AI tool are not required.
How does this course differ from Software Architecture Foundations?
This course focuses on design and reviews within components. Software Architecture Foundations covers architecture work, system-level decisions and architectural patterns. Components are relevant to both courses at different levels.
How is AI used in the workshop?
Participants review human-written and AI-generated code against requirements and discuss how AI can support analysis and improvement. Responsibility for design decisions remains with the developers.