prompt-bisect

To identify load-bearing constraints, perform rapid revision bisection by applying single-variable prompt removals across isolated git worktrees, running orchestration tests, and reporting a degradation gradient against a known-good baseline.

Yes, you can test prompt variants by creating isolated git worktrees from a baseline commit, applying single-variable changes to each, and evaluating orchestration test logs against predefined behavioral criteria.

The best way to automate prompt constraint bisecting is providing a baseline commit, target prompt file, and a list of one-variable changes to an orchestration workflow that runs tests and evaluates degradation automatically.

Git worktrees are used to create isolated environments for applying single-variable prompt removals, ensuring each orchestration test runs independently without interfering with your baseline or other variants.

Bisection in prompt engineering isolates impactful constraints by systematically removing single variables, running orchestration tests per variant, and reporting a degradation gradient showing which constraints are load-bearing.

Limitations include relying on predefined behavioral criteria for evaluation accuracy and requiring a known-good baseline commit, as the bisect workflow only reports degradation gradients based on single-variable removals.