Jason Woltje
72ae92f5a6
Implement verification engine to determine if AI agent work is truly complete by analyzing outputs and detecting deferred work patterns. Strategies: - FileChangeStrategy: Detect TODO/FIXME, placeholders, stubs - TestOutputStrategy: Validate pass rates, coverage (85%), skipped tests - BuildOutputStrategy: Detect TS errors, ESLint errors, build failures Deferred work detection patterns: - "follow-up", "to be added later" - "incremental improvement", "future enhancement" - "TODO: complete", "placeholder implementation" - "stub", "work in progress", "partially implemented" Features: - Confidence scoring (0-100%) - Verdict system: complete/incomplete/needs-review - Actionable suggestions for improvements - Strategy-based extensibility Integration: - Complements Quality Orchestrator (#134) - Uses Quality Gate Config (#135) Tests: 46 passing with 95.27% coverage Fixes #136 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
3 lines
99 B
TypeScript
3 lines
99 B
TypeScript
export * from "./verification-context.interface";
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export * from "./verification-result.interface";
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