ck:fix

To automate end-to-end bug fixes, you orchestrate a structured workflow across scout, diagnose, plan, implement, verify, and finalize phases. This coordinates multiple subagents to handle multi-file issues, regression testing, and prevention measures, ensuring root-cause resolution rather than surface-level patches.

Ensuring a root-cause fix requires a workflow that mandates diagnosis before implementation and verification before finalizing. By enforcing regression tests and defense-in-depth checks, the process guarantees the root cause is resolved and prevention measures are in place to stop recurrence.

Yes, you can use automated bug fix orchestration for CI/CD failures and UI or test failures. The workflow assesses complexity, activates subagents to diagnose the failure, implements the fix, and verifies the resolution across the codebase, ensuring the pipeline is restored.

You coordinate multiple debugging subagents by using task-based orchestration that activates mandatory and optional agents like scouts, debuggers, and planners. This structured approach manages moderate to complex fixes by distributing tasks across the scout, diagnose, implement, and verify phases for thorough resolution.

Automated bug fixing works for both single-file and multi-file issues. The workflow assesses the problem's complexity during the diagnose phase and scales subagent activation accordingly, making it suitable for simple single-file fixes as well as complex multi-file codebase problems.

Using a structured workflow for debugging prevents superficial patches by enforcing root-cause analysis and regression testing. It coordinates the entire fix lifecycle from scout to finalize, adding guardrails and prevention measures that direct fixes often miss, ensuring long-term codebase stability.