One Way to Look at APIs
A quick reflection on what APIs are, not just technical tools but a way to connect technology and people to solve real problems. This clip comes from a full webinar featuring Frank Kilcommins and Nauman Ali.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Accelerating Model Context Protocol (MCP) Journey with SmartBear API Hub
In the evolving landscape of AI applications, the Model Context Protocol (MCP) emerges as a pivotal standard, facilitating seamless integration between large language models (LLMs) and external tools, data sources, and services. By standardizing these interactions, MCP enables AI systems to perform complex tasks with enhanced context and precision. To harness the full potential of MCP, developers require robust tools that ensure reliability, scalability, and efficiency.
Delivering scalable, serverless APIs with SmartBear and AWS
Amazon API Gateway and AWS Lambda are widely used for deploying and running scalable APIs or applications in the cloud. While they offer powerful capabilities for deploying and scaling APIs, designing the API or maintaining visibility into performance and reliability can be challenging without the right tools in place.
From Strategy to Execution: Driving API Maturity with API Hub
Defining an API strategy is important—but its execution is what separates high-performing teams. APIs play a central role in delivering connected, high-quality digital experiences. But turning strategy into execution—at scale—remains a challenge for many organizations.
Amplify and Automate Your API Testing with ReadyAPI and TestEngine
In today’s fast-paced world of software development, the pressure to deliver high-quality releases quickly is stronger than ever. Teams are pushing code changes to production multiple times a day, and expectations around stability, security, and performance haven’t gone down—in fact, they’ve gone up. Manual testing simply can’t keep up with the speed and complexity of modern deployment cycles.
From Flaky to Reliable: How QMetry Keeps Your Pipeline Clean
Not every failure is a bug and not every bug is what it seems. Sometimes, a test fails without warning. No code changes, no environment issues, just a red mark where there should be green. You rerun it, and it passes. These are flaky tests. And they do more than create noise. They drain team time, stall releases, and make it harder to trust automation at all. Left unchecked, they quietly become one of the most expensive problems in testing.
What is an API first approach?
APIs already account for 71% of all internet traffic, but here's what most companies are missing: AI is about to become the biggest API consumer ever. As generative AI transforms how we interact with software, agentic workflows will perform automated, API-heavy interactions on our behalf. Companies that embrace an API-first approach now will dominate tomorrow's AI economy. In this video Frank Kilcommins, Principal API Technical Evangelist at SmartBear, explains what it means for a software development organization to be API-first.
Long live the human tester: QA in a post-AI world
This article originally appeared on DevPro Journal. We’re sharing it here for our audience who may have missed it. QA’s job has always been simple: find the bugs before your customers do. There was a time when that meant checking every corner of an application by hand, clicking through countless possible user scenarios. Today, with software moving faster and expectations higher, a tiny slip can cost your business. Testing that’s quick, precise, and thorough has never been more critical.
SmartBear Honors Dominik Krichbaum of ING Germany with 2025 Quality Champion Award
Quality Champion Award celebrates the leaders behind exceptional software quality and extraordinary user experiences it enables.