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By Temil Sanchez
Teams using TestComplete face a common problem: one small test change can produce a wide set of modified files, and not all of them deserve the same level of scrutiny. The fix is not to review everything equally – it is to classify TestComplete artifacts by risk, then standardize how your team reviews, stages, and merges them. This article outlines this process and offers best practices for using Git effectively with TestComplete projects.
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By Maggie Bean
Testing software at scale has always been a race against change. Then, AI-coding turned what was once a challenge into a crisis: rapid development cycles accelerated by AI have made it impossible to maintain comprehensive test coverage and catch issues before they impact users. In SmartBear’s Closing the AI Software Quality Gap Study, 60% of software experts told us they experienced quality issues as development outpaces testing.
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By Jeff Foley
AI-accelerated development has fundamentally changed how software is built, and across the industry, its impact on quality is already measurable. In SmartBear’s Closing the AI software quality gap study, we found nearly 70% of software professionals report application quality is declining as AI speeds up code generation, with development velocity increasingly outpacing teams’ ability to test effectively.
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By Vyshnavi Dabbir
In 2026, APIs have moved far beyond simple integration points. They’re now strategic business assets powering AI transformation, microservices architectures, and multi-cloud ecosystems. But a critical challenge threatens to undermine digital initiatives: the fragmentation of API testing. As organizations rush to deliver faster, they’re discovering that their testing infrastructure – cobbled together from disparate tools and disconnected processes – has become the bottleneck.
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By Temil Sanchez
Digital transformation rarely happens in a clean, technical environment. Most organizations aren’t starting from a blank slate – you’re operating across a mix of legacy desktop applications, internal web systems, custom-built interfaces, and business-critical workflows that must remain stable while modernization continues around them. The central challenge is whether that automation can remain reliable as underlying technologies evolve.
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By Vineeta Puranik
There’s a tension building inside most engineering organizations right now, and not many people are talking about it openly. AI has given development teams an extraordinary gift: the ability to build faster than ever before. Features that once took days can be prototyped in hours. Applications that required large teams can now be scaffolded by a handful of engineers with the right tools. By almost every measure of development velocity, we are living through a remarkable moment.
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By Prashant Mohan
If you’ve used Claude Code, GitHub Copilot, Cursor, or any coding agent, you already know the feeling. You describe what you want in plain language, the agent figures out the steps, and you watch it work. When something goes wrong, it backs up and tries a different approach. Reflect now brings that same agentic workflow to test automation. Through the SmartBear MCP server, any coding agent that supports MCP can connect to Reflect and build tests from high-level objectives.
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By Temil Sanchez
When we talk to testing teams at enterprise organizations, we hear the same frustrations repeatedly: “Our automation breaks every time the UI changes.” “We can’t test this application because it doesn’t expose accessible properties.” “We spend more time maintaining tests than creating new ones.” These scenarios block test automation adoption for teams that need it most.
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By Rob McNeil
Object recognition is the capability of test automation tools to identify, locate, and interact with user interface elements within an application under test. It serves as the bridge between automated test scripts and the visual elements that end users see, enabling tests to accurately simulate user actions and validate application behavior.
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By Dan Faulkner
Over the past few years, we’ve watched coding velocity accelerate at an extraordinary pace. AI has completely disrupted how developers build software. Agentic tools can now generate clean code faster than ever before. While AI has turbocharged code generation, code review, and code-level testing, it’s created a massive strain on the rest of the software development lifecycle.
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By SmartBear
Recent SmartBear research shows that 70% of teams are already seeing quality degrade with AI-generated code, creating a real bottleneck in the software-development lifecycle (SDLC). As output increases, QA teams are left choosing between delaying releases to validate changes or shipping faster with less confidence in what’s actually working. In this From the Bear Cave clip, SmartBear CEO Dan Faulkner and CMO Kelly Wenzel dig into a growing gap in modern software development: how AI is accelerating code generation but testing and quality validation aren’t scaling with it.
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By SmartBear
AI-generated code is flooding your pipelines. Your test automation debt is piling up. If this sounds familiar, you're not alone. Velocity can't come at the cost of quality. As AI transforms how we build software, API testing must evolve. Join Justin Collier, Senior Director, Product Management, and Yousaf Nabi, Developer Advocate, to explore the future of API testing in an AI-driven world.
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By SmartBear
Learn how to get started with TestComplete in this comprehensive beginner's tutorial. TestComplete is an automated testing platform for desktop, web, and mobile applications – and this guide will help you create your first test in just minutes. What You'll Learn: This video is perfect for test automation engineers and developers new to automated testing. Whether you're testing desktop applications, web apps, or mobile interfaces, this tutorial covers the essential features every TestComplete user needs to know.
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By SmartBear
When multiple designers and teams contribute APIs, you face inconsistent schemas, divergent patterns, and broken assumptions. However, the "shift-left" approach to API standardization helps you catch issues early, automate compliance, and maintain quality without manual gating – making your API program truly scalable. In this video, SmartBear Senior Solution Engineer Joe Joyce demonstrates how to enforce consistent API standards across large development teams using Swagger Studio's governance, collaboration, and CI/CD integration features.
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By SmartBear
As software teams move faster across APIs, testing, and observability, keeping application integrity intact is harder than ever. Join SmartBear product leaders for a Now / Next / Later look at how we’re evolving our platform to help teams build, test, and operate software with confidence. What you’ll get from this session: Get a clear view of where SmartBear is headed and how these capabilities come together to help your teams scale quality alongside velocity across the SDLC.
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By SmartBear
Modern APIs aren’t just read by developers anymore; they’re also interpreted by tools and AI agents. In this video, Solutions Architect Joe Joyce walks through how to enrich an OpenAPI definition in Swagger Studio with meaningful metadata such as descriptions, summaries, operation IDs, tags, schemas, and examples. You’ll see step-by-step how these additions help tools and automated agents better understand API intent, purpose, and semantics. This turns your OpenAPI definition into a contract that scales beyond documentation.
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By SmartBear
In this demo, you’ll see how Reflect and QMetry work together to connect automated testing with test management. In this short walkthrough, test execution from Reflect flows directly into QMetry, giving your team better visibility, reducing manual effort, and helping you move faster without losing control of quality. If you’re looking to scale testing while keeping everything organized and traceable, this integration is built for you.
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By SmartBear
Testing teams need to know if they’re ready for a release. Getting answers within Jira, however, often means jumping between multiple screens and reports. In this demo, see how you can query your test data with SmartBear MCP for Zephyr to get insights directly from your testing system of record, so you can make faster, more informed release decisions. From within AI tools like Copilot, Claude, or VS Code, you’ll learn how you can.
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By SmartBear
Asked a question in our BearQ livestream? We’ve got your answers. We received 100+ questions during the event and couldn’t get to all of them live, so we pulled together the most common ones and answered them here. In this video, we break down what BearQ can test, how it handles authentication and complex workflows, how the AI works behind the scenes, how it fits into your existing tools, and even how to get early access.
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By SmartBear
Missed the live event? Here’s a quick look at what we unveiled. AI has fundamentally changed how applications are built, creating a growing gap between development velocity and your ability to validate what’s being built. That’s why SmartBear delivers application integrity for the AI era – ensuring continuous, measurable assurance that your software just works as intended, with governance to operate at AI speed and scale.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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?
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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?
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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.
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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.