Devzery

Paid

Devzery: AI-powered, codeless API testing for faster, safer releases.

#AI-powered#codeless#API testing#end-to-end regression testing#validates integrations#user-level functionality#microservices#CI/CD integrations#Jira#GitHub Actions#Jenkins#GitLab#Azure DevOps#generative AI#test suites#collaborative bug tracking#automatic Swagger documentation#Middleware SDK#real-time logging#minimal-setup coverage

Type

Saas

Company

Devzery

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About Devzery

Devzery is an AI-powered end-to-end API regression testing solution designed to transform QA processes. It offers AI-driven, precise test case generation, turning testing monotony into a streamlined intelligent process. By harnessing advanced computer vision and DOM analysis, Devzery delivers tailored scenarios, cutting release cycles by 2x and GTM by 3x. The platform ensures flawless API performance by automating end-to-end regression testing, verifying user-level functionalities, validating integrations, and tracking changes in real-time. It integrates seamlessly into CI/CD pipelines for crash-free deployments, all with a single click.

How to Use

Devzery analyzes PRD or project details to generate API test cases, creating a context-rich test suite tailored to the API structure and functionality. Users can execute regressions at the API level for all user flows with a single click. The platform also automates repetitive testing tasks with codeless test automation.

Key Features

AI-Powered Test Case Generation
Automated API Regression Testing
Collaborative Bug Tracking
Integrations with Project Management and CI/CD Tools
Effortless API Documentation
Unified Platform for Different Testing Phases

Use Cases

AI-Powered Test Case Generation: Devzery’s AI engine analyzes your PRD or project details to generate API test cases.
Test Suite & HTTP Coverage Metrics: Track test coverage and HTTP distribution metrics to ensure all critical aspects of your APIs are covered.
Precise Bug Tracking with AI: Automatically generate detailed bug reports with status, related test cases, expected vs. actual results, and error descriptions.

Key Features

Self-driving AI agent for end-to-end regression testing with single-click execution and real-time change tracking.

Codeless test automation to build and run tests in plain English without coding expertise.

Seamless CI/CD integrations with Jira, GitHub Actions, Jenkins, GitLab, and Azure DevOps, triggering tests on merges and deployments.

AI-powered test management with search and filtering, automatic adaptation to API changes, drag-and-drop API reordering, and dependency variable management.

Generative AI for test suites that executes end-to-end user journeys, produces context-rich scenarios, explores edge cases, and personalizes tests to product context.

Collaborative bug tracking with real-time AI-powered reporting, exportable QA results, tagging, and impact/risk-based prioritization.

Effortless API documentation generation with AI-driven, accurate, up-to-date Swagger schemas and references.

Middleware SDK support for Node, Java, Python, and Golang enabling automated testing and real-time logging with minimal setup.

Verification of user-level functionalities and validation of integrations across microservices.

Secure testing environment that prioritizes product security and privacy during regression testing.

Pros & Cons

Pros

AI-driven test case generation reduces manual effort and speeds up test creation.
Codeless interface allows both technical and non-technical users to create tests in plain English.
Seamless CI/CD integration triggers automated regression tests on every code merge or deployment.
Middleware SDK supports multiple languages (Node, Java, Python, Golang) for real-time logging and testing.
AI automatically generates and maintains accurate Swagger documentation.
Comprehensive bug tracking with AI-powered reporting, tagging, and risk prioritization.
Offers a free tier (Basic) with 150 AI-generated test cases per month (or 1800 per year).
Claims to reduce release cycles by 2x and development costs by 3x.

Cons

Free tier (Basic) limited to 150 AI-generated test cases per month (or 1800 per year) and only 1 project.
Pro plan has a 2-week free trial; Enterprise requires contacting sales for pricing and features.
AI-generated tests may require manual review for complex edge cases or nuanced business logic.
Full functionality depends on Middleware SDK integration, which may require initial setup effort.
No explicit support for mobile app API testing mentioned.

Best For

QA Lead: Automate full API regression suites that run on every merge in CI/CD to prevent production regressions.Backend Engineer: Create English-described test scenarios to validate endpoints, contracts, and edge cases without writing code.DevOps Engineer: Gate deployments with AI-generated regression checks across environments via GitHub Actions, Jenkins, or GitLab.Microservices Architect: Continuously validate inter-service contracts and data flows when code changes impact specific services.Product Manager: Verify end-to-end user journeys and critical workflows through codeless, context-aware test suites.API Technical Writer: Auto-generate and maintain accurate Swagger documentation as services evolve.Startup CTO: Accelerate onboarding and ensure reliability with minimal-setup testing and real-time API logs.SRE/Platform Engineer: Monitor API health with dashboards, track changes, and quickly reproduce issues using detailed logs.Data/Integration Team: Test cross-service integrations and data exchange protocols for stability and security.QA Manager: Consolidate AI-powered bug reports, prioritize by risk, and share exportable QA results with stakeholders.