One morning, you realize you have a great idea for an API. You discuss it with your team, then start building out the business case and technical requirements. Where do you go from there? You could write out the business requirements for the API and then code it. Or you could describe your API in a specification language, like OpenAPI, and use that definition to improve your team's understanding of the API and do some early testing. But are either of these the best solution?

Comprehensive software testing has never been more important than it is today. Software will continue to play an essential role in our daily lives. What is changing – and will continue to change – is what we test and how we test it. Modern software codebases are immensely complex. It’s simply not feasible to execute all of the necessary test cases manually. The bulk of testing today is automated.

Releasing high-quality products is crucial for developers and QA teams. At SmartBear, we’re always looking for ways to improve the software development lifecycle. We want to help developers and QA teams make the best use of their time before releasing products. Testing web or mobile applications ensures rich, robust functionality. With BitBar, your application works.

This blog is derived from the webinar, “Accelerate Releases Through Code Ownership with Collaborator and Bugsnag”, focused on establishing a culture of code ownership and its benefits through the lens of the SmartBear tools Collaborator and Bugsnag. Taking a line from the SmartBear 2021 Annual State of Software Quality Report: "Quality is top of the mind for every individual and every team.

Finding efficient ways to process, share, and reuse functionality and data is crucial – it’s an important way to break down monolithic applications into more consumable and maintainable microservices. In today’s API-focused world, this translates into multiprotocol development (gRPC, GraphQL, EDAs, etc.) and an enhanced development process (governance, standards, design-first). To understand this, we need to look more closely at protocols.

When you hear “Artificial Intelligence,” (AI) what do you think of? You might picture advanced humanoid robots or futuristic technology from sci-fi movies. But as it turns out, this “futuristic” technology is already integrated into our lives. It exists in our phones, televisions, and homes to make everyday tasks simpler. When it comes to software testing, AI can be implemented into your testing initiatives to increase efficiency.