In-repo docs, static websites with clickable sections, work logs, condensing stale documentation, agents updating rather than appending docs
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Modern documentation strategies are shifting toward agentic, in-repo systems where AI maintainers prioritize updating existing content over merely appending logs to maintain a cohesive and accurate project history. To keep these agents efficient, developers recommend condensing stale files and utilizing clickable static sites to optimize context windows, ensuring the AI can track historical reasoning without being overwhelmed by redundant data. While concerns persist regarding potential "blindspots" created by massive markdown archives, the emerging consensus favors using these work logs alongside automated testing to transform documentation from a passive record into an active, reproducible framework for validation.
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