Somerville, MA, USA
2009
  |  By Alisha Siddhartha
AI has changed how fast testing teams can move, yet sorting through duplicate test cases still trips teams up. Ask the SmartBear Zephyr Agent for Rovo to generate test cases for a requirement, and coverage that used to take an afternoon comes back in a single conversation. That speed is a genuine win for teams building faster than ever, but as AI generates more test coverage, how do you make sure all of it stays worth keeping?
  |  By Ewa Ostrowska
Drift detection stays narrow on purpose. It checks contract conformance – structure, status codes, schema – and deliberately leaves workflows and business logic to functional and end-to-end tests. That’s what makes it a fast add to our pipeline to prevent API drift. That narrow scope keeps it cheap to run. Fast execution, low flakiness, low maintenance cost – the kind of checks that make you more confident shipping. Catching drift early is the whole point.
  |  By Klaudia Makiej
Article Summary: Most teams have adopted AI coding tools, but testing is still manual, so the speed gain rarely survives to release. This post covers why that gap forms, how your team can maintain application integrity, and how QMetry’s AI features, from fast test creation to a Release Readiness Advisor, connect coverage, risk, and release decisions in one system instead of a second disconnected tool.
  |  By Vyshnavi Dabbir
Imagine this scenario: your engineering team just pushed a spec update. A field was removed, an endpoint renamed, a new required parameter appeared on the payments API. Nobody told QA. Three days later, your regression suite lights up red across a dozen tests that have nothing to do with the actual bug. They’re failing simply because the tests are stale. Someone spends the next afternoon manually diffing the old spec against the new one, hunting for what changed, then rewriting test steps by hand.
  |  By Rob McNeil
Enterprise testing tools often fail at the same point: the testing setup that worked for one team starts straining under ten teams, multiple pipelines, and an audit request tied to the same release. The core question becomes where testing should live as complexity grows. For some organizations, testing belongs inside Jira, where developers, product, and QA already work.
  |  By Klaudia Makiej
Regulated QA teams carry a pressure most testing platforms weren’t built to solve for at the same time. Every release still needs traceability from requirement to test case to defect that holds up under audit. Approvals and evidence still need to be airtight. At the same time, agile releases, DevOps pipelines, and AI-assisted development keep moving, whether or not the testing platform underneath has kept pace.
  |  By Alisha Siddhartha
Your SmartBear Zephyr test data holds the answers you need before you ship: what’s covered, what passed, where the risk sits. That data has always lived one context switch away, behind the Jira UI. The SmartBear MCP Server changes that. It brings your Zephyr test data into any MCP-compatible AI client, so quality keeps pace with how fast your team builds. This guide covers where testing sits in the AI age, what MCP is, and how it unifies data visibility within your Zephyr workflow.
  |  By Klaudia Makiej
Choosing an enterprise test management platform is an architecture decision, not just a feature checklist. That choice comes down to how the platform stores data, how deeply testing connects to development, how far reporting and traceability extend, and how much the platform can absorb as testing volume, automation, and compliance requirements grow.
  |  By Daisy Priya
Design, document, and verify APIs across OpenAPI, AsyncAPI, GraphQL, and MCP. gRPC and A2A support coming soon.
  |  By Matt Bonner
For decades, the software development lifecycle (SDLC) gave engineering teams a common framework. Requirements became designs. Designs became code. Teams tested, deployed, monitored, and improved it.
  |  By SmartBear
In this video, you'll learn how SmartBear Swagger Agents, built right into SmartBear Swagger Studio, cut the process of manual API governance reviews and documentation from weeks to minutes, generating API definitions that are specific to your APIs and compliant with your organization's governance rules from the start.
  |  By SmartBear
What actually makes you trust the software you ship? Proof. As AI changes how software gets built, teams need more than faster delivery in a crowded market where new tools and solutions are constantly emerging. Trust has to be earned. They need application integrity: confidence that what they're shipping works as intended.
  |  By SmartBear
Think you know the rules of shipping software with AI? Myth or fact? Test your instincts and see what it takes to maintain application integrity at the speed of AI.
  |  By SmartBear
See agentic testing in action with SmartBear BearQ. BearQ uses autonomous agents to explore your application, uncover defects, create regression tests, and adapt testing as your product changes – with human oversight built into the process. Broken, flaky test scripts eat up hours every sprint – and still leave gaps in coverage. SmartBear BearQ replaces constant script maintenance with agentic QA, so testing can move beyond predefined paths without giving up human oversight.
  |  By SmartBear
Want your API tests to stay accurate every time your OpenAPI spec changes? See how the SmartBear ReadyAPI MCP Server connects directly to Claude Code, so your API tests stay in sync with your OpenAPI spec without manual rework so you stay apace of change. In this walkthrough, Adrian Minnock, SmartBear Solutions Engineering Team Lead, configures the ReadyAPI MCP Server and connects it to Claude Code from the terminal. The demo also shows how ReadyAPI detects and repairs tests automatically after a spec change, then runs the new suite with ReadyAPI's own execution engine.
  |  By SmartBear
Your AI coding agent can already write code. Can it verify a contract, run provider checks, and tell you whether it's safe to deploy? This video shows you how to set up SmartBear Swagger Contract Testing drift AI Agent Skills, so your agent can spot API drift and write the missing tests for you, without needing the context multiple times.
  |  By SmartBear
Learn how to generate API contract tests automatically from an OpenAPI specification using SmartBear Swagger Contract Testing's drift init command. Instead of writing tests endpoint by endpoint, you'll generate your first contract test suite in minutes. This video shows the full loop.
  |  By SmartBear
Learn how to create, configure, and verify your first API contract test with SmartBear Swagger Contract Testing drift. Teams know contract testing prevents breaking API changes, but most stall out before they start – citing “we don't have time, we don't have the right skills, or we don't have the resources.” SmartBear Swagger Contract Testing removes that onboarding friction with drift, a capability that automates schema validation so you can adopt Interface-Driven Development (IDD), making your API specification the primary artifact of your build process in minutes.
  |  By SmartBear
Verification asks: Did we build the thing right? Validation asks: Did we build the right thing? When teams can answer both with confidence, they have more than quality software. They have application integrity: measurable assurance that the application works as intended.
  |  By SmartBear
Quick application integrity check: can your quality strategy survive the tsunami of code coming its way? AI is accelerating development, increasing code abstraction, and multiplying the volume of software teams need to validate. But existing QA approaches weren't built for this level of speed and scale. Application integrity closes the growing gap between what teams build and what they can verify, providing continuous assurance that software works as intended.
  |  By SmartBear
Now, more than ever, the success of your business hinges on your ability to ensure a quality Web experience for both internal and external users. We're not talking about just design, either. Your customers are demanding fast access to quality Web content that displays properly on any mobile or web device of their choosing. Download this eBook, and see if you're running the right tests to be sure your website is adapting.
  |  By SmartBear
We rely on APIs for critical aspects of our digital infrastructure. Much like the nails that connect and support a house's foundation, APIs ensure that the necessary parts of your digital network are connected. Understanding how they are behaving is vital to gain full visibility into the performance and availability of your digital assets.
  |  By SmartBear
Our AlertSite team supports businesses in monitoring and maintaining a stellar user-experience with accurate, actionable performance insights for web and mobile applications, websites, and APIs.
  |  By SmartBear
We've all heard the stories about the overnight sensation that took decades to achieve. The "API Revolution" has that same feel to me. Some version of APIs has been at the heart of application development for many years, but as the web application world grew more and more connected and developers learned to leverage code built outside their own application, the API industry began to boom and flourish.
  |  By SmartBear
When it comes to APIs, performance is just as important as accuracy. No matter how good the features and functionality of your application might be, if it performs poorly by crashing or loading slowly, your users will lose interest quickly. With this in mind, we've put together a comprehensive guide to the fundamentals of API load testing.
  |  By SmartBear
Where do performance testing and monitoring fit into the Agile and DevOps development process? Implementing a process for improving the performance of your applications requires the right tools to help you do it. These tools go beyond the responsibilities of your development team to ensure that applications are tested in pre-deployment and monitored after your application is live in production. This eBook will provide the tactical advice you need to implement a strategy that works for your organization.
  |  By SmartBear
Modern applications are developed, tested and delivered to end-users in ways that simply didn't exist five years ago. In order to meet increasingly high user expectations, businesses need to deliver higher quality software at a faster rate, and those that fail to do so will lose market share to competition that does.
  |  By SmartBear
There are two primary techniques for monitoring web and mobile applications-synthetic monitoring, and real monitoring-each with very different capabilities, advantages and disadvantages. How do you know which technique to use?
  |  By SmartBear
While APM solutions have been mitigating poor user experiences since the early 90s, only recently have these tools begun to deliver on the promise of proactively identifying and diagnosing performance issues before users are impacted-but they are still far from perfect. For starters, why the lack of unified functionality? Why do we still need multiple tools in order to deliver a single APM solution? Or do we?
  |  By SmartBear
Now, more than ever, the success of your business hinges on your ability to ensure a quality Web experience for both internal and external users. We're not talking about just design, either. Your customers are demanding fast access to quality Web content that displays properly on any mobile or web device of their choosing. Download this eBook, and see if you're running the right tests to be sure your website is adapting.

SmartBear provides high-impact, easy-to-use tools for software teams to plan, build, test, and monitor great software, faster. We create the software tools that development, testing, and operations teams use to deliver the highest quality and best performing software possible, shipped at seemingly impossible velocities.

With products for code review, API and UI level testing, and monitoring across mobile, web and desktop applications, we equip every member of your team with tools to ensure quality at every stage of the software cycle.

The World’s Best Software Development Teams Use SmartBear Tools:

  • SoapUI Pro integrates with your entire API delivery ecosystem, from design and mocking to issue reporting and deployment. With an open core plugin framework, integrations to the following areas make ReadyAPI and SoapUI Pro the most extensible and connected API testing suite in the world.
  • With LoadUI Pro, you can reuse your functional API tests built on the industry's #1 open-source based API testing tool, SoapUI Pro to speed testing and reduce the time it takes you to deploy high performance REST and SOAP web services.
  • SwaggerHub is engineered to give organizations and teams the best possible experience for maintaining and scaling their API development, from design to deployment.
  • AlertSite gives you full visibility into the health of your websites, web applications, mobile applications, cloud applications, and APIs, so you can deliver an exceptional end-user experience. Key features of the AlertSite Platform include: Hybrid Deployment, Real-Time Alerts, Codeless Web Recorder, Real Browser Playback, Single-Sign On.

Release your passion to create great software, think bigger, and build smarter.