ditpoo

Untested but Promising Blueprint for Writing Production-Ready Code with AI Code Generation

What's Lacking / Required:

• Defined processes, practices, and workflows.
• The ability to generate working or easy to debug/fix code.
• The ability to generate working or fixable production-ready code.
• Efficient management of code files with thousands of lines of code (loc).
• Management of file/code history, changes, and context.

Goals:

ditpoo

Sharing best practices I discovered/found for coding using AI based code generation

1. Provide code base/project details and up-to-date context.
2. Separation of concerns in different modules.
3. Create implementation details for each PR, maintain implementation docs.
4. Generate small, focused chunks of code (< 1k lines).
5. Keep functions concise and small.
6. Comment every function; add context before AI generation.
7. Keep those comments updated with every change on that code