tea-style is my attempt to give shape to the way I learn, build, and refine systems.
It is not a framework. It is a scaffold for thinking.
As I work and gain experience, I keep noticing small patterns. Some are habits I pick up that probably need to be corrected. Some are better ways of structuring code, notes, tools, or workflows. Some come from seeing a messy thing and realizing it could operate much better with a little more thought and intent.
I named it because I needed a place to organize the principles, practices, and random engineering tangents I keep collecting. My mind can jump around a lot, so having a repository for these ideas helps me gather them, relate them, and turn them into something I can reuse instead of repeatedly rediscovering the same lessons.
The goal is not to invent a grand framework. It is to curate what I learn from hyperfocus rabbit holes and turn those lessons into artifacts. If I can write the idea down, structure it, test it against examples, and connect it to other ideas, then it becomes easier to build on. It also gives me something concrete to show when I want better feedback.
The typed part is not only about type hints. It is about shape. A concept should have boundaries. A tool should make clear what it accepts, what it produces, and where it fits. Knowledge does not always fit neatly into one box, but useful buckets help me learn faster. They give my brain something to pattern-match against, which usually leads to the next question: what else is this connected to?
The encapsulated part is about making ideas self-contained without making them isolated. I want each document, tool, or concept to work like a localized atom: understandable on its own, but able to connect outward through relationships.
tea-style is not designed as a rebellion against one specific kind of engineering. It is more of a scaffold for continuous improvement. I want to learn how to build robust systems with intent instead of relying on taste, vibes, or accidental complexity. Without principles and repeatable practices, regression and stagnation become easy. People do not naturally refine systems forever. The system has to make refinement easier to notice, easier to perform, and harder to ignore.
Where I might be overcorrecting is in wanting everything to be organized before it has earned that structure. Not every idea needs a taxonomy. Not every experiment needs doctrine. Some things should stay messy long enough to reveal what they actually are.
Structure should clarify the work, not become the work.
First rules
- Do not build tools that require folklore.
- Make mutations atomic and visible.
- Keep config as intent, not hidden business logic.
- Do not confuse a demo with a system.
- Make state visible before humans start guessing.