Systems | Development | Analytics | API | Testing

Practice what you Pact : Catch breaking API changes before production in the SmartBear MCP

There’s something satisfying about contract testing the contract-testing tool. The SmartBear MCP Server is the integration layer between AI coding assistants and the PactFlow API, so when we decided it needed Pact consumer tests of its own, we were subjecting our own code to the same standards that we recommend.

The mobile gap: Vision-based testing catches what code reviews miss

The pull request looked perfect. Two approvals, clean diff, all checks green. The team shipped it Thursday afternoon. By Friday morning, support tickets were coming in. On a popular mid-range Android device, the new checkout button rendered behind a promotional banner: visually present but physically untappable. Every reviewer read that code, yet none of them could have caught it, because the defect was never visible in the diff. It only ever appeared on the device.

SmartBear BearQ wins 2026 CRN Tech Innovator award

SmartBear BearQ, an agentic QA system, has won a 2026 CRN Tech Innovator Award. CRN, a brand of The Channel Company, named BearQ a winner in the Application Development and DevOps category, calling it out among the most innovative technologies shaping the IT channel this year. AI has changed how fast software gets built, but for many organizations, testing hasn’t kept pace.

API testing for agent-driven code: SmartBear ReadyAPI MCP for Claude, Copilot, Cursor, and compatible agents

Key takeaway: When code moves at AI speed and testing stays manual, the widening gap between a code change and its test coverage becomes your biggest quality risk. SmartBear ReadyAPI MCP reduces that gap by letting you generate, run, and heal API tests in plain language, right inside the Claude, Copilot, or Cursor session that wrote the code.

How to run your first API contract test in five minutes | SmartBear Swagger Contract Testing drift

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.

How agentic QA cuts the test maintenance tax

Every QA budget has a line item for building test coverage, but 30–50% of that automation budget ends up spent on maintenance instead of new tests. That disparity stays invisible until a release goes out, the application shifts underneath the tests, and the QA team spends the next three days rewriting broken scripts instead of finding new bugs.

Use of AI in Software Development

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.

API definition-native AI testing: Support faster, confident shipping with your existing Swagger and OpenAPI specification

APIs are the backbone of modern software. They connect microservices, power mobile experiences, and make integrations possible across industries. For all their importance, API testing remains one of the most fragmented, manual, and maintenance-heavy parts of the software development lifecycle (SDLC). So as development accelerates in an AI-disrupted SDLC, application integrity – continuous, measurable assurance that your software just works as intended – becomes harder to maintain, not easier.