7 articles
Whether a team succeeds with AI depends less on stacking flashy tools and more on the quality of its workflow design.
Run the same prompt with multiple models, pick the best result; customize setup and migration with worktrees.json, and worktree cleanup settings.
Use -p/--print for non-interactive runs; combine with --force so the Agent writes to disk. Ideal for scripts, batch jobs, and automation.
When to use text, json, and stream-json; parsing results in CI, live progress, and failure handling.
Use Cron scheduling for recurring tasks, understand the syntax, configure it from the dashboard, and debug missed runs.
Use --no-interactive to let the AI run to completion without waiting for input. Perfect for scripts and CI. Optionally pick --model or use -c to run in the cloud.
Write a shell script that has cursor agent automatically fix code, run tests, and if tests fail let the AI fix again — repeating until all tests pass.