Code generation fundamentally changes how we approach software development. Instead of carefully architecting every detail upfront, you can start quickly and iteratively refine patterns as they emerge.
You don't need to think through everything beforehand. Just start and slowly chisel out a pattern. The ability to experiment freely and go all the way without fear is liberating.
Found a bug or want to improve something? Change it once in the template, and it updates everywhere. This is especially powerful when you realize you need to refactor a pattern across dozens or hundreds of files.
Generated code maintains even quality throughout. No "morning code vs afternoon code" inconsistencies. Every generated file follows the same standards and patterns.
When all UI components look and behave the same, testing becomes more efficient. Test one dropdown, and you've effectively tested them all. You can even generate tests if you want to.
Want to swap out a select box implementation? With code generation, it's a quick template change rather than hunting through dozens of files.
Conduct meetings with live model changes while maintaining runnable code. The model becomes a living document that everyone can understand and modify together.
We would never have achieved the level of input data validation we have today without code generation. Consistent patterns ensure nothing falls through the cracks.
Like Test-Driven Development, code generation has a learning curve. But once you get into it, it doesn't feel scary anymore. It becomes a natural part of your workflow.
Generated code will overwrite files on regeneration. You need to be
careful about where you put custom logic. For example, if you modify
a generated file like rest.mixin.js, your changes will
be lost on the next generation.
Solution: Use mixins, partials, and separate files for custom logic that won't be overwritten.
Making changes becomes a bit more involved since you need to modify templates rather than individual files. This can feel slower initially but pays off when the same change needs to propagate everywhere.
It's harder to keep template files DRY (Don't Repeat Yourself). There's a temptation for copy-paste between templates, which can lead to maintenance issues.
Solution: Use partials extensively and extract common patterns into reusable components.
It's easy to neglect making your templates beautiful, resulting in output that sometimes looks "generated". If we had linted our templates more rigorously, we might have avoided some of these issues.
Solution: Use formatters like Prettier and treat your templates with the same care as production code.
Give yourself time to adapt. Like TDD, code generation feels unfamiliar at first but becomes natural with practice.
Structure your projects with clear boundaries between generated and custom code. Use mixins and hooks for customization points.
Treat templates as first-class code. Use linters, formatters, and code review. The quality of your templates directly impacts the quality of your generated code.
One of the biggest advantages is the ability to experiment. Don't be afraid to try new patterns—you can always regenerate if something doesn't work out.
Commit your templates and models separately from generated code. This makes it easy to track what changed and why.