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SIMPLE Architecture: What You Need to Know (Quick Start)
Computers run code — people read, change, and maintain it. Good SIMPLE code is:
- Easy to read and reason about
- Easy to extend without breaking existing behavior
- Explicit about what it does and why
If something is hard to understand, it will be hard to maintain.
SIMPLE follows a clean architecture mindset:
- Scientific algorithms and domain logic come first
- UI, file I/O, formats, and performance optimizations are details
- Details should never leak into or dictate scientific code
This allows SIMPLE to evolve (new workflows, UIs, formats) without rewriting core logic.
Complexity kills productivity. It comes from:
- Too many dependencies
- Unclear naming and structure
Small messes accumulate quickly. Clean as you go. Always leave the code better than you found it.
Good names explain intent. Bad names hide design problems. If you can’t name something clearly, it may:
- Be doing too much
- Need to be split
- Need a better abstraction
Prefer clarity over cleverness or premature optimization.
You don’t need to memorize acronyms — just remember:
- One responsibility per module
- Extend behavior without modifying stable code
- Depend on abstractions, not concrete details
- Keep interfaces small and focused
These ideas show up repeatedly across SIMPLE modules.
Getting something to work is not the finish line. After it works:
- Improve tests
- Refactor
- Simplify
Fast hacks today become slow progress tomorrow.
- Prefer deep modules: simple interfaces, powerful internals
- Avoid duplication (DRY)
- Don’t add features “just in case” (YAGNI)
- Separate what a module does from how it does it
- Ask for reviews early — architecture improves through discussion
Good architecture makes SIMPLE:
- Easier to understand
- Easier to change
- Easier to trust
That matters more than any single feature.
Overview
Architecture & Design
Engineering Process
Performance