$Building software products with AI

This hub covers mindset shifts and practical approaches for building software products with AI assistance.

Mindset & Thinking

How working with AI changes how we think and approach problems:

• Coding with LLMs makes me think more
• The correct response to complexity is probe, sense, respond
• The currency of the future will be thought
• The question of the future is "what if"
• A new skill can be learned starting from a problem to solve

Architecture & Code Quality

Principles for maintaining quality when AI generates code:

• Software systems integrating with AI still benefits from good software architecture
• There's not difference in maintainability in AI vs Human generated code
• Context compression for better code generation
• Software development is knowledge management

Working with Agents

When your AI assistance becomes agentic workflows:

• We should invest in AX (Agents Experience)
• [[ZETTELKASTEN/MAIN NOTES/HUB NOTES/$DesigningAgenticWorkflows\parallel$Designing Agentic Workflows]]

Related

• [[ZETTELKASTEN/MAIN NOTES/HUB NOTES/$Evolutionofrolesinsoftwareengineering\parallel$Evolution of roles in software engineering]] - How AI changes what engineers do