timeout-prevention

Prevent timeouts by chunking long operations into smaller batches and implementing checkpoints to save progress incrementally. This allows Claude Code to process large datasets, bulk operations, and complex workflows within the 2-minute timeout limit by breaking them into manageable steps.

Use task decomposition and background processing with progress checkpoints. Break downloads and workflows into parallel batches, execute them incrementally, and track completion at each checkpoint so interrupted operations resume rather than restart.

Yes, timeout-prevention implements explicit timeout configurations and recovery strategies alongside chunking. Configure batching parameters and checkpoint intervals to keep individual steps under the timeout threshold while maintaining reliable completion.

Use chunking when processing large datasets, downloading multiple files, or executing complex multi-step workflows that risk exceeding 2-minute limits. Checkpoints let you save state between batches, so operations can resume if interrupted rather than failing entirely.

Background execution runs batches asynchronously and updates progress incrementally without blocking. Combined with parallelization, it distributes work across operations, reducing per-batch execution time and preventing timeout failures on workflows with many sequential steps.