Revising AI review instructions:
* Reduce context window use for AI review tools, by avoiding repeating common knowledge and API information that is (usually) part of the AI training datasets any way.
* Introduce a mechanism to maintain both parts in single files, to avoid "silent diversion" over time
* Adding a coderabbit path instruction that ensures cross-checking of both parts whenever a PR modifies instruction files
Objectives:
* Primary Goal: only inject content in AI-visible areas that are WLED-MM–specific or which deviate from general knowledge (the context window "token cost" of true false-positive suppressors is always worth it).
* Soft goal: keep each file's AI-facing section lean enough that the signal-to-noise ratio in the attention layer stays high — around 1,500–2,000 words per file type is a reasonable practical ceiling for current models.
* Aspirational: 500 words per file if achievable without sacrificing review quality.
This is an evolution of #353, based on the discussion in https://github.com/MoonModules/WLED-MM/pull/353#issuecomment-4186989873
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Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Revise copilot-instructions.md: consolidate redundant sections, extract language-specific rules
* Added comprehensive internal documentation files establishing coding standards and development workflows for C++, Web UI, CI/CD, and ESP-IDF components.
* Implemented CodeRabbit configuration to enforce repository-specific code review guidance and quality standards across pull requests.
* Documented development workflow procedures and contribution expectations to streamline the development process and improve code consistency.
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Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: softhack007 <91616163+softhack007@users.noreply.github.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
