A project needs a clear structure. This structure includes file locations, server roles, and tool settings. Knowing these details helps a developer work correctly.
By Pawan Nayar · from the LLOS AI Learning record
A project needs a clear structure.
This structure includes file locations, server roles, and tool settings. Knowing these details helps a developer work correctly.
A developer should define a main workspace for all project files. Each server should have a specific task. A server's port number and static file location must be clear. This prevents confusion and errors. Old servers should be marked as no longer used. This helps other developers understand the current setup. Design choices like fonts and colors should be noted. The Python version and API key locations are also important. A developer must use paid API tiers. This protects user data from being used for AI training.
A developer wants to add a new feature. The developer checks the project structure document. The document shows the correct server for the new feature. It also shows where to find the API keys. This helps the developer build the feature correctly and safely.
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API keys, like those for OpenAI or Google, must be kept in one file. This file is typically named `.env`.
A project's test plan and all rules must be kept inside the project folder. This makes sure everyone working on the project can find them easily.
A developer should put all Markdown backup copies in the `llos/tools/` folder. This folder is a single, expected place for these files.
Record feedback in a log. Each entry needs a date.
A project needs a clear structure. This structure includes file locations, server roles, and tool settings. Knowing these details helps a developer work correctly.