Re-execute tasks based on PR review feedback. Closes the feedback loop between code review and implementation.
Re-execute AI agents on pull requests that have received review feedback. This closes the feedback loop: run produces a PR, review (or a human) leaves comments, and iterate addresses them.
# Iterate on all agent PRs with feedback
locus iterate
# Iterate on a specific PR
locus iterate --pr 15
# Find PR for issue #42 and iterate
locus iterate 42
# Iterate on all sprint PRs with feedback
locus iterate --sprint
# Preview without executing
locus iterate --dry-run
# Iterate on PR 15 with a specific model
locus iterate --pr 15 --model claude-sonnet-4-6