quality-gate

Automated code quality checks evaluate recent code changes to enforce quality gates post-task. The system provides error classification by severity to determine whether issues require AI auto-fix or escalation to a specialist agent for resolution.

Classifying code review errors by severity involves categorizing issues into Minor, Moderate, or Major tiers. This triage process determines the appropriate response, suggesting fixes for minor problems while flagging complex issues for human review or specialist agent escalation.

Automated error triage for post-task validation works by evaluating code changes against quality assurance guidelines. It issues self-check reminders and classifies errors to guide whether an AI auto-fix is sufficient or if specialist agent escalation is required.

Yes, automated quality gates evaluate code changes to decide between AI auto-fix and specialist escalation. By classifying errors by severity, the system routes minor problems to auto-fix and flags major issues for human or specialist agent intervention.

Quality assurance guidelines for evaluating code changes are needed after an AI agent completes a coding task. They support the post-task validation workflow by providing self-check reminders and error severity guides to ensure code review standards are met.

Yes, the quality-gate workflow supports self-check reminders for code review. It provides quality assurance guidelines and error severity guides to validate code changes, determining the need for AI auto-fix or specialist agent escalation based on the triage.