More context is not always better context.
Sometimes it is just more noise.
I have seen teams treat context as a dumping ground. Add the docs, the tickets, the traces, the Slack thread, the full repo, the meeting notes, the customer calls. Then wonder why the AI system behaves inconsistently.
Good context design is closer to a memory hierarchy than a warehouse. Some information should be always available. Some should be retrieved only under specific conditions. Some should be compressed into stable rules. Some should never enter the prompt at all. Large context windows are useful, but they make weak context architecture easier to hide.
For AI adoption, the question is not how much the model can read. It is what the system chooses to show it, when, and why.
A bigger window does not replace a better memory architecture.