Work Cadence

**ProofCase — AI-Generated Software Tests with Deterministic Bug Detection** ProofCase is an AI-powered software testing prototype that turns natural-language business requirements into executable test scenarios, detects defects, and produces reproducible evidence. **The Problem** Software engineers and QA professionals spend considerable time translating business rules into test cases. Subtle defects, particularly those involving cumulative state and boundary conditions, can escape ordinary tests. **The Solution** ProofCase combines Meta Muse Spark 1.3 with a deterministic testing engine. A user enters a business rule, such as: "Total accepted refunds for an order cannot exceed the captured payment." Meta Muse Spark interprets the requirement and generates structured test operations from a restricted catalog. ProofCase then validates the generated plan, checks that it matches the business rule, and requires authorization before execution. The same AI-generated test sequence runs against intentionally buggy and corrected implementations. ProofCase compares their behavior, detects invariant violations, and produces a detailed JSON execution report. **Working Demonstration** In the recorded demo, an order captures $10. Two $4 refunds are accepted, followed by an attempted $3 refund. The buggy implementation incorrectly accepts all $11 in refunds. The corrected implementation rejects the final refund and retains an accepted total of $8. ProofCase identifies the defect and records the assertion results. **Key Capabilities** - Live Meta Muse Spark 1.3 test generation - Strict structured output and deterministic validation - Restricted, allowlisted test operations - Fail-closed handling of invalid model responses - Authorization before execution - Buggy-versus-corrected implementation comparison - Downloadable execution evidence - Offline regression tests and recorded replay **Hackathon Contribution** ProofCase was developed as a standalone hackathon prototype using reusable development infrastructure. The Meta-powered testing workflow, validation, execution comparison, and demonstration are the focus of the new work. Built with JavaScript, Node.js, Meta Model API, and Meta Muse Spark 1.3. ProofCase demonstrates how generative AI can help developers move from business requirements to verifiable software-testing evidence rather than stopping at AI-generated suggestions.