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Right now, Open SWE feels slow even for small tasks because it’s doing a lot behind the scenes — not just asking the AI once, but breaking your request into steps, spinning up a sandbox, reading files, sometimes running code, and then pulling it all together. We can make it faster by: As for cost — it comes from both AI token usage and the time the sandbox runs. It’s worth it for bigger jobs (like code changes or deep repo summaries) but overkill for quick, one-line questions. |
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While testing the current setup I’ve noticed that even very simple requests - like "describe this repo" or "create a markdown file" take noticeably long to complete.
I’d like to open a discussion on:
Cost is something that makes me curious about use cases for this type of application.
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