Keeping context from rotting is still the key problem, even for SOTA models
dejavucoder · x · 2026-07-29
The post argues that preventing context rot is still the most important concern, even with today’s state-of-the-art models.
It frames the issue as an ongoing operational problem for AI workflows: if context degrades, model quality suffers regardless of raw capability. The point is concise, but it is a clear engineering take on how to keep long-running agent or assistant systems reliable.
Related event: Preventing Context Rot Remains Top Priority for Current SOTA Models(2 posts)→
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