Systems | Development | Analytics | API | Testing

SmartBear Zephyr is the Jira-native test management and automation platform that empowers your team to deliver better software, faster. Efficient execution is the heartbeat of quality assurance, and Zephyr provides flexible ways to distribute work and log results directly within your Jira workflow.

SmartBear Zephyr is the Jira-native test management and automation platform that empowers your team to deliver better software, faster. Effective test management starts with well-structured test cases, and Zephyr makes it easy to organize, detail, and scale your testing efforts within Jira.

In this From the Bear Cave session, Dan Faulkner and Vineeta Puranik break down how MCP Server enables connected workflows, what autonomy looks like in practice, and why trust and transparency are critical as teams adopt agentic automation.

In this From the Bear Cave session, Dan Faulkner, CEO of SmartBear, and Vineeta Puranik, CTO/CPO of SmartBear, discuss why agentic automation is becoming essential in software development and delivery, how MCP Server enables connected autonomy across the SDLC, and what this transformation means for business outcomes and the future of human + AI collaboration.

Discover how Zephyr transforms test management in Jira with this comprehensive walkthrough covering test automation, CI/CD integration, and scaling QA workflows. Struggling with fragmented testing tools, manual processes, and limited visibility into your QA pipeline? This complete Zephyr tutorial shows developers and QA teams how to build a unified, high-performance test management system directly in Jira – without compromising speed or collaboration.

AI has changed how software is written, but testing and quality haven’t kept up at the same pace. In the first episode of our "From the Bear Cave" discussion series, SmartBear CEO Dan Faulkner and VP of Product, AI, Bridges Smith talk through the Levels of Autonomy in software development, why non-code-based testing must become more autonomous, and what it will take to close the gap between AI coding and ensuring trustworthy software.

Tired of manually updating your Pact contract tests? Learn how to automate the entire process using AI agents with SmartBear MCP tools and GitHub Copilot! In this video, we walk through how AI-assisted contract testing helps you automatically upgrade Pact tests when new features are added to your API.

Discover how to perform expert-level Pact contract testing reviews in seconds using SmartBear MCP (Model Context Protocol) tools directly in your IDE with GitHub Copilot (or any generative AI that supports MCP)! You’ll learn how to automatically identify and fix common issues in your Pact tests, including: Over-specified test contracts Incorrect HTTP client usage Missing provider states Overuse of matchers Tests not reflecting real API behavior.

Did you know you can automatically generate complete Pact test suites directly inside your IDE? No more writing boilerplate test code manually! In this video, we show how SmartBear MCP tools work with GitHub Copilot (or any MCP-compatible agent) to automatically create best-practice consumer contract tests tailored to your project.

Learn how to automate PDF testing and validation using TestComplete. In this demo, you'll see three scenarios where you can replace slow, error-prone manual PDF checks with fast, scalable automated tests. Perfect for QA teams working with invoices, reports, contracts, compliance documents, and any PDF containing dynamic or image-based content. Whether you test static PDFs, scanned documents, or complex reports with variable data, this video shows you how to automate the entire process in minutes.