AI Doc Pipelines Lose Architectural Coherence on Large Releases
Context window limits force AI documentation tools to process code changes file-by-file, losing the cross-file relationships that give architecture meaning. On large releases, this produces hallucinated edits to wiki pages that did not need updating and misses real interdependencies between changed components. The chunking strategy that makes LLM processing feasible is the same strategy that undermines architectural comprehension.
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Problem descriptions, scores, analysis, and solution blueprints may be updated as new community data becomes available.