Aonyx offers a measurement platform that lets software engineering teams benchmark and compare AI coding agents and tools using quantitative metrics such as correctness, test coverage, and defect rates. The platform runs generated code against automated tests, provides a unified dashboard for side‑by‑side comparisons, and integrates with CI/CD pipelines to enable data‑driven decisions about adopting agentic coding solutions.
Funding
Funding not disclosed
Founders
Product
Problem
Engineering teams lack objective metrics to evaluate the performance of AI coding agents, models, or tools, making it difficult to determine which solutions actually produce reliable, high-quality code. This uncertainty leads to reliance on intuition rather than data-driven decisions when adopting agentic coding technologies.
Solution
Aonyx provides a measurement platform that lets software development teams benchmark and compare different AI coding agents and tools against concrete performance criteria. The platform captures code generation outcomes, runs automated tests, and generates quantitative metrics such as correctness, test coverage, and defect rates. Teams can experiment with various configurations, view comparative results in a unified dashboard, and make evidence‑based decisions about which agents to integrate into their development pipelines. By surfacing reliable data, Aonyx enables organizations to adopt agentic coding with confidence and improve overall code quality.
Target Audience
Primary customers are software engineering teams and DevOps groups in technology companies that are evaluating or deploying AI‑driven code generation tools.
Features
- Automated benchmarking suite that executes generated code against unit and integration tests to assess functional correctness
- Standardized metrics dashboard displaying pass rates, test coverage, runtime performance, and defect density for each AI model or tool
- Configurable experiment framework allowing teams to run side‑by‑side comparisons of multiple agents under identical codebases and workloads
- CI/CD integration hooks that collect and report agent performance data as part of the regular build process
- Exportable reports and API endpoints for downstream analytics and governance compliance