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Trends in Observability Capabilities

Trends in Observability Capabilities

API Performance Testing: Strategy & Tools for Production-ready Confidence

API Performance Testing: Strategy & Tools for Production-ready Confidence

How Tata Consultancy Services cut API design time by 88% with SmartBear Swagger

How Tata Consultancy Services cut API design time by 88% with SmartBear Swagger

Upcoming Webinars

Sep

15

Earn production confidence: why passing tests don’t mean production-ready APIs

Join SmartBear’s Vyshnavi Dabbir and Yousaf Nabi for a live session on the moment your API testing stops matching what’s running in production, and what to do before that gap becomes an outage. On September 15, 2026, we’ll walk through why 63% of APIs drift from their tested behavior within 90 days, the specific failure patterns behind most real-world breakdowns, and how testing …
Sep

16

Reflect vs. open source: Choosing the right test automation approach

Open-source frameworks are the default starting point for most automation teams, and for good reason: flexibility, developer control, and no license fee. But as automation programs scale, the cost resurfaces elsewhere. Environment setup, CI infrastructure, scripting effort, rework after every UI change, and a growing dependency on the handful of engineers who can actually keep the …
Sep

17

Demo Den: Find Gaps in Your Test Coverage with BearQ

Your automated test suite is valuable, but it may not show you where coverage is incomplete, workflows have changed, or unexpected paths create risk. In this live Demo Den, see how QA teams can use BearQ’s QA agents to investigate an application area, uncover missed user journeys, and turn what they find into actionable testing …
Sep

22

Stacking Regulations, Same Deadlines: How to Keep Test Automation Audit-Ready

Something breaks in production, and your manager wants to know exactly what your AI-built code changed and why. If you’ve been there, you’re not alone: many teams are unable to fully explain AI’s role in a bug or incident when it mattered most. That gap gets harder to close as audits grow more frequent and …
Oct

6

Same Spec, Zero Drift: Keeping API Tests in Sync with AI and MCP

The challenge Your OpenAPI spec changes on a Tuesday. Your test suite finds three sprints later, usually in production. That gap between what your API actually does and what your tests assume it does is the sync gap. It is expensive. 41% of APIs drift within 30 days, and teams still lose a quarter to half of their QA capacity just keeping test suites current …

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API Performance Testing in the Age of AI-Generated Code

API Performance Testing in the Age of AI-Generated Code

As developers build and release APIs faster in an Agentic AI assisted world, many enterprises are having to reshape existing API testing to ensure their APIs don’t lose quality and scale. Existing functional tests and unit tests may not suffice in identifying API quality introduced via agentic development. ReadyAPI’s performance test module can build an extensive test suite based off existing infrastructure to capture minute slow-downs or bottlenecks. By building these tests into

Mobile Testing at Scale: Automate Across Every Device and Screen with SmartBear Reflect

Mobile Testing at Scale: Automate Across Every Device and Screen with SmartBear Reflect

As teams prepare for heavier release demands in the months ahead, mobile testing gaps are becoming harder to ignore. Many QA workflows still rely on fragile automation, duplicated effort, and manual validation across devices, operating systems, and screen sizes. Watch this session between SmartBear and TechRepublic for a focused discussion on how SmartBear Reflect’s AI-powered,

How to Build an AI-Ready Open Banking API

How to Build an AI-Ready Open Banking API

With PSD3 expected to come into force in 2027, now is the time to ensure your API foundations are built to meet both today’s requirements and tomorrow’s regulation. For European banks, the pressure to stay competitive and innovate has never been greater and API-powered digital workflows are at the heart of that transformation. In this

AI Built Your API. Swagger Ensures It’s Production Ready

AI Built Your API. Swagger Ensures It’s Production Ready

Ensure Production-Ready APIs AI coding assistants can generate APIs in minutes, but speed doesn’t guarantee production readiness. Without proper validation, testing, and governance, teams risk undocumented endpoints, inconsistent contracts, and growing technical debt. AI Built Your API. Swagger Ensures It’s Production Ready is an expert-led session focused on helping teams close the gap between AI-generated

Zephyr 201: Next-Level Traceability & Reporting

Zephyr 201: Next-Level Traceability & Reporting

Struggling to clearly show the value of your testing work – or to get the budget, resources, or support you know your team needs? You’re not alone. As software delivery moves faster, visibility becomes one of QA’s biggest challenges: leaders want clarity, teams need alignment, and testers need a reliable way to connect day-to-day work

BugSnag + SmartBear MCP: Agentic Debugging Demo

BugSnag + SmartBear MCP: Agentic Debugging Demo

From Alert to Root Cause in Minutes: Agentic Debugging with BugSnag and SmartBear MCP See how SmartBear MCP pulls BugSnag’s production error and performance data — stack traces, event details, affected users, and span details — directly into your team’s Agents or AI-powered IDE, so developers can triage, investigate, and fix issues without ever leaving their flow. Overview Production errors don’t wait for engineers to context-switch,

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