Resources Center

Broken telephone: Fix data loss between REST, Kafka, and MCP

You know the game where a message gets whispered down a line of people and comes out the other end completely different? Your APIs play something like that every day.   A single transaction passes through REST, GraphQL, gRPC, and Kafka, and more and more often, it reaches an AI agent at the end of …

Preventing the Late Surprise: Uniting API and UI Tests for Complete Coverage

API and UI testing usually sit with different teams, in different tools, on different schedules. So when an endpoint changes, the UI side often hears about it from a failed regression run days later. In this live demo and AMA, SmartBear product experts show how Model Context Protocol (MCP) connects ReadyAPI and TestComplete to your …

The BearQ Sessions: Conversations on AI agents in testing, live

Everyone is being told to bring AI agents into testing. Few teams know where to start. The BearQ Sessions are three live conversations with the people building BearQ, SmartBear’s agentic QA system. Each session takes on one real testing challenge, then shows BearQ’s QA agents handling it live. Pick one or more sessions! Oct 30: …

Stop finding bugs at the finish line: Pick the right automation tool for your team 

More than half (54%) of delivery teams regularly push AI-generated code informed by specifications that have not been reviewed by a human, according to SmartBear’s State of Software Quality and Testing 2026 report. This creates a critical misalignment between design and delivery. The checks that do happen tend to cluster near release, when bugs take …

From adhoc to governed APIs at AI speed with Swagger

AI coding assistants help your team build APIs faster. They also make it easier for specs to drift, for teams to skip style rules and for breaking changes to reach consumers.  SmartBear Swagger is where teams design, govern, and document APIs against one style guide.  In this 30 mins demo, John Monahan, Solutions Engineer, follows …

The API lifecycle: No shortcuts, even with AI

The engineering fundamentals you need before scaling AI across API governance, documentation, and testing. In SmartBear’s State of Software Quality and Testing 2026 survey, 55% of software professionals reported application quality issues in the past 12 months because AI-accelerated development outpaced testing. Only 22% of organizations have independent checks at all three points: before AI …

Inside the SmartBear Roadmap: Quality for your software assembly lines

Join us Thursday, December 3 at 11AM ET! Software delivery can often feel like operating an assembly line. Yours might have specific auditability or data residency requirements because you’re operating in regulated environments. Maybe your “assembly line” is being disrupted by how AI is changing how you write and test code. A growing number of …

Webinar: QA and Testing in the Era of Agentic Software Development​

Rethinking quality when AI writes the code AI helps teams ship more code, faster than ever. Testing capacity hasn’t kept up. Scripted automation breaks with every change, green pipelines hide untested behavior, and QA teams spend more time repairing tests than protecting quality. The bottleneck has moved from writing code to trusting it. SmartBear BearQ™ …