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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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Demo Den: AI-Powered API Lifecycle Management with Swagger

Demo Den: AI-Powered API Lifecycle Management with Swagger

Managing the full API lifecycle – design, governance, documentation, and testing, has traditionally demanded days of manual effort across disconnected teams. Not anymore. In this 20-minute live demo session, see Swagger’s first generation of AI Agents transform how you work with API lifecycle tooling. The Swagger Governance Agent enforces the organization’s design standards automatically. The

Zephyr 101: Get Started, Get Confident

Zephyr 101: Get Started, Get Confident

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Demo Den: Build Fast, Test Smart with Agentic Test Creation

Demo Den: Build Fast, Test Smart with Agentic Test Creation

Every QA team faces the same challenge: test creation is time-consuming, maintenance is endless, and scaling coverage feels impossible. What if AI could handle it all? Join us for our May Demo Den: a focused 20-minute session where we demonstrate Reflect’s agentic test automation in real-world scenarios. Watch as AI agents navigate your applications, generate

AI-Native API Governance: Scaling Velocity Without Losing Control

AI-Native API Governance: Scaling Velocity Without Losing Control

AI is transforming API development at a pace existing governance wasn’t designed to handle. Whatever stage your testing maturity is at, those systems were built for human-paced development. When agents autonomously write, deploy, and consume APIs, a new category of risk emerges that conventional tooling wasn’t built to catch. The result? Breaking changes slip through.

Better object recognition: How to automate testing for complex applications with TestComplete

Better object recognition: How to automate testing for complex applications with TestComplete

If you’re testing CAD applications, canvas-based interfaces, virtualized environments, or other complex UIs, you’re likely dealing with brittle tests that break constantly, critical workflows stuck in manual testing, and uncertainty about whether your releases are ready to ship. When object recognition fails, the impacts affect your entire organization. Testing teams spend hours maintaining flaky automation

API Testing in the AI Era

API Testing in the AI Era

The challenge AI-augmented development has enabled teams to ship code up to 10x faster, reshaping how testing needs to scale. Traditional API testing methods remain linear, creating a growing backlog of validation work and a compounding “testing debt.” As code delivery accelerates, quality becomes the bottleneck, increasing the risk of defects reaching production and compromising application integrity. The solution? A

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