Automatic context given to coding models should clear a high bar for accuracy and relevance, since more context makes them slower, costlier and more confused.

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• Every announcement of a longer context window hides the cost, which is that the model gets worse at following instructions. ASAravind Srinivas19 Jun 2024
• The quality of the context given to an AI matters more than the model's inherent capability. TFTiago Forte9 Jul 2026
• What sits in a model's context is far clearer to it than its training data, which is trillions of tokens stirred into a soup of parameters. JDJeff Dean30 Jul 2026
• A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. DHDex Horthy15 Jul 2026
• As AI takes over more of the coding process, clearly specifying goals and exercising good judgment will matter more than ever. SHScott Hanselman4 Feb 2026

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