Bullet claims it is 30–60% faster than Claude Code and Codex Discussion.
The cited comparison number is 30–60%.
As a result, it positions Bullet as a quicker option for AI code-generation workflows, though the information provided is minimal and not enough to verify details.
A developer recorded the HTTP requests Codex sends to models and measured their size across different scenarios, finding that a 16-character prompt resulted in a 42,980-byte request with 9,435 tokens, 99.7% from system instructions and tool definitions rather than the user input. File reads, command output, images, and project instructions all get accumulated in requests, with large files triggering head-and-tail truncation once context exceeds thresholds. When history grows too large, Codex compacts it by sending accumulated context through a separate model request, replacing the detailed history with a generated summary before resuming the conversation.
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