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VerifyAgent: AI Code Verification Engine
VerifyAgent forces AI-generated code to prove it works by executing it. It uses a 6-phase pipeline to generate adversarial tests, run them in an isolated Python sandbox, diagnose tracebacks, and automatically self-heal runtime bugs.
12/12Pass Rate
0False Positives
RESTAPI Integration
report_problem
The Challenge
As teams increasingly rely on LLMs to generate application logic, they encounter a major bottleneck: trusting the output. Static AI reviewers often hallucinate and miss critical runtime bugs like infinite loops and edge-case failures.
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The Solution
We engineered an execution-based verification engine backed by the Gemini 3.6 Flash model. It parses code, generates tests, executes them with strict timeouts in a subprocess sandbox, diagnoses tracebacks, and applies patches until the code passes. We also exposed this via an Agent-to-Agent REST API.
Tech Stack
Python
FastAPI
Gemini 3.6 Flash
AST Parsing
React
Key Features
check_circle6-Phase execution pipeline for testing and auto-patching
check_circleIsolated Python subprocess sandbox with strict timeouts
check_circleAutomated traceback diagnosis and root-cause analysis
check_circleAgent-to-Agent REST API via FastAPI
check_circleAdversarial test case generation targeting AI hallucinations
check_circleStructured JSON reporting and full agent trajectories
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