Project management and CI/CD integrations
Devzery integrates with Jira, GitHub Actions, and Jenkins, and the site says it can trigger API regression tests on code merge or deployment events.
Devzery is an AI-powered API testing and regression testing platform to automate test creation, execution, bug tracking, Middleware SDK workflows, and CI/CD integrations.
Devzery is an AI-powered API testing and regression testing platform for teams that want to automate test creation, execution, and bug tracking across development workflows. The site describes it as a self-driving AI agent for API functional regression testing, with a Middleware SDK that captures requests and responses and feeds them into automated testing.
The product is designed to fit into CI/CD and application workflows rather than sit beside them. According to the site, it can integrate with Jira, GitHub Actions, and Jenkins, run tests across environments, generate Swagger documentation, and help teams manage test cases, bugs, and coverage from a unified platform.
Devzery integrates with Jira, GitHub Actions, and Jenkins, and the site says it can trigger API regression tests on code merge or deployment events.
The platform reports bugs in real time, supports tagging and prioritization, and allows QA teams to export test results for follow-up analysis.
The AI agent keeps test cases current as APIs change, while search, filtering, drag-and-drop ordering, and dependency variables help manage test suites.
Devzery can generate Swagger documentation and AI-based schema definitions from API data, reducing manual documentation work.
The platform can create end-to-end API regression suites tailored to product context, including scenario coverage beyond simple happy-path checks.
The Middleware SDK logs requests and responses, integrates with applications with minimal setup, and supports Node.js, Java, Python, and Golang.
Teams can generate API regression test cases from product context, then run them continuously to catch regressions earlier in the SDLC and reduce manual test creation work.
Developers can install the Middleware SDK in an application, capture live API requests and responses, and let the AI system automate test coverage with minimal code changes.
QA teams can use the platform to track bugs, tag issues, export results, and keep regression suites organized across multiple APIs and test flows.
Engineering teams can connect Devzery to Jira, GitHub Actions, or Jenkins so API regression tests run when code is merged or deployed.
Teams working from HTML prototypes or web app markup can use the open-source generator to produce structured functional test cases in JSON for further testing workflows.
Devzery positions itself as an API testing and regression testing platform. Its homepage and SDK pages describe automated API testing, continuous regression coverage, real-time logging, and CI/CD integration.
The SDK page says Devzery supports Node.js, Java, Python, and Golang through its Middleware SDKs.
The SDK workflow is to install the Middleware SDK, integrate it with a few lines of code, and let Devzery analyze captured requests and responses to automate API testing.
The pricing page shows a Basic plan at $0, a Pro plan with a free trial, and an Enterprise plan with custom pricing. The site also offers a contact flow for founders and sales conversations.
The open-source tool accepts stringified HTML as input and returns functional test cases in JSON format, including descriptions, dependencies, steps, and expected results.