Devzery provides a self-driving AI agent for automated API functional regression testing integrated directly into CI/CD pipelines. This platform streamlines testing by automatically validating integrations, tracking changes, and generating test suites based on project context. The result is accelerated product launches, reduced development costs, and improved software quality through efficient, codeless automation.
Funding
$130K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
API testing is often a manual, repetitive, and time-consuming process, especially when ensuring consistent functionality across different environments and integrations. Existing testing methods can be slow to adapt to API changes, leading to delayed releases and increased development costs. Furthermore, accurately identifying and tracking bugs across complex API interactions can be challenging, hindering efficient resolution.
Solution
Devzery offers an AI-powered platform that automates API functional regression testing, enabling real-time verification of user functionalities and integration validation. The platform uses an AI agent to generate context-rich test suites tailored to the API structure, automatically adapting tests to API changes to ensure continuous regression coverage. By automating repetitive tasks and providing AI-driven insights, Devzery accelerates development cycles, reduces testing time, and lowers development costs. The platform integrates seamlessly into CI/CD pipelines, allowing for automated triggers of API regression tests with every code merge or deployment.
Target Audience
Devzery targets software development teams, QA engineers, and DevOps professionals who need to automate and streamline API testing processes to ensure software reliability and accelerate release cycles.
Features
- AI-powered test case generation based on PRD or project details
- Automated end-to-end regression testing, verifying user-level functionalities and validating integrations
- Real-time bug identification with AI-powered bug reporting, including status, related test cases, and expected vs. actual results
- Comprehensive Swagger documentation generation using AI to analyze complex data structures
- Integration with Jira, GitHub Actions, and Jenkins for automated testing triggers
- Middleware SDKs available for Node, Java, Python, and Golang to simplify API testing
- Test suite and HTTP coverage metrics to ensure comprehensive API coverage
- Collaborative bug tracking with tagging and prioritization features