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 --------- Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
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