The quality of AI-assisted software depends on unit of work management
10 hours ago
- #error management
- #context engineering
- #AI-assisted development
- AI-assisted software creation relies on managing units of work effectively.
- Providing the correct context is crucial for better AI-generated results.
- Andrej Karpathy describes AI-assisted engineering as 'putting AI on a tight leash'.
- Context engineering is key to improving AI tool outputs by managing the 'canvas' of generation.
- The context window's design significantly influences the quality of AI-generated code.
- Too little context leads to hallucinations; too much degrades output quality.
- Breaking tasks into 'right-sized' units improves context and reduces errors.
- Error rates compound in multi-turn workflows, reducing overall success chances.
- METR's research shows AI success rates drop with increased task 'messiness'.
- User Stories are proposed as ideal units of work for AI-assisted development.
- StoryMachine is an experiment to refine units of work for AI-assisted coding.