Don't just review code. Prove it works.
Traditional linters check syntax and types, but miss critical runtime regressions. FlowGuard AI audits code changes against formal business rules, detects concurrency flaws, and produces reproducible verification evidence.
The Gap Between Code Review & Reality
Code reviews frequently approve PRs that pass all static checks yet fail under concurrent production traffic.
What Standard Tools Check
- ✕Validates TypeScript types and syntax structure.
- ✕Assumes async operations are isolated without verifying race conditions.
- ✕Cannot detect duplicate refund settlement when two requests arrive simultaneously.
- ✕Outputs advisory comments without runnable verification harnesses.
What FlowGuard Actually Proves
- ✓Extracts formal business invariants (e.g. at most 1 refund side effect per key).
- ✓Executes controlled concurrent requests against target state machines.
- ✓Demonstrably catches race-conditions with exact observed commit counts.
- ✓Produces executable TestSprite 3.0 test assertions automatically.
Three Specialized Stages, One Evidence Standard
FlowGuard divides responsibilities across three autonomous stages. No single stage can fabricate execution proof.
Requirement Analyst
Extracts formal mathematical invariants, predicates, and domain assumptions from human business rules and PR descriptions.
Risk Hunter
Audits the pull request diff for non-atomic operations, dirty reads, and race windows. All findings are strictly classified as POTENTIAL.
Verification Planner
Maps potential vulnerabilities into concrete test input vectors, failure criteria, and executable TestSprite 3.0 assertions.
Payment Idempotency & Concurrency Race Condition Proof
Test the live verification harness right now. Compare the vulnerable implementation against the corrected atomic lock implementation.