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Trends in Observability Capabilities

Trends in Observability Capabilities

The Future of Open Banking & Banking-as-a-Service

The Future of Open Banking & Banking-as-a-Service

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

Aug

5

How AI-assisted and agentic workflows are changing test management

How are you using AI for software testing? With AI speeding up development, testing is becoming harder to track across manual, automated, and agentic work, making clear visibility into implementation more important than ever. Join us for an expert-led look at how AI-assisted test management is helping teams adjust to AI-driven development, and how technical teams can benefit from more connected, flexible, and practical workflows. In this …
Aug

6

Unlocking Definition-Driven AI Testing for QA workflows

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 …
Aug

11

AI Builders Workshop Series: Run AI-driven QA inside Jira with Zephyr

AI in QA should reduce the work you manage, not add to it. Join this hands-on workshop to see the AI capabilities available in SmartBear Zephyr today, working inside Jira where your team already operates. Through real scenarios, you’ll see the Zephyr Agent for Rovo generate test cases from requirements, create and organize them in …
Aug

13

The AI ROI Gap: A Fireside Chat on API Governance for Engineering Leaders

AI coding assistants promise faster delivery and real ROI. But speed without governance is a trade, not a gain. When AI-generated code outpaces API lifecycle management, teams inherit broken contracts, inconsistent specs, and remediation costs that quietly erode returns. This fireside chat unpacks the fix: integrating AI platforms with governance tooling, so speed and control …
Aug

20

API Performance Testing in the Age of AI-Generated Code | Webinar

Thursday August 20th 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 …

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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,

Navigating the Speed vs. Quality Dilemma: What QA Leaders Need to Know for H2 2026

Navigating the Speed vs. Quality Dilemma: What QA Leaders Need to Know for H2 2026

State of Software Testing: The impact of AI on speed and quality AI is changing the game for QA. Organizations are racing to deliver faster releases while simultaneously cutting costs – but 60% are still stuck in early-to-mid automation maturity, struggling to balance speed, quality, and resource constraints. SmartBear recently surveyed 126 QA and testing executives to understand how the

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