Verifies documentation completeness and assesses AI execution readiness before synchronizing tasks to Jira.
aidlc-verify is a sophisticated quality assurance tool designed for AI-driven development workflows. It automatically audits Confluence documentation—including Intent, Units, and Tasks—using parallel sub-agents to calculate a confidence score for successful AI implementation. By identifying critical gaps, generating optimized Bolt execution plans, and managing the hierarchical transfer of requirements into Jira (from Sub-epics down to Sub-tasks), it ensures that development teams only begin implementation when requirements are technically sound and fully context-rich.
主要功能
01Automated confidence scoring based on Intent, Units, and Design documentation
020 GitHub stars
03Intelligent Bolt Execution Plan generation with dependency mapping
04Comprehensive gap analysis with prioritized remediation suggestions
05Parallel sub-agent review for granular assessment of implementation units
06Seamless Jira synchronization with full hierarchical structure preservation
使用场景
01Automating the transition from high-level design to actionable Jira stories
02Assessing project readiness and identifying technical gaps in requirements
03Pre-implementation auditing to ensure AI agents have sufficient context to code
