Systems | Development | Analytics | API | Testing

Are your LLM coding agents (like Cursor or Claude Code) hallucinating fixes because they don't know what's actually happening in production? In this video, Matt from Speedscale shows you how to bridge the gap between your local IDE and live production traffic using the Model Context Protocol (MCP). Most observability tools just give you telemetry. Speedscale’s MCP server gives your agent the "inner workings" of actual API calls and payloads, so it can check its assumptions against reality. No more "vibe-coding" and hoping it works; let your agent find the 500 errors and rate limits for you.

Learn more at speedscale.com or visit https://docs.speedscale.com/proxymock/how-it-works/mcp/

Learn more at speedscale.com or check out https://docs.speedscale.com/proxymock/how-it-works/mcp/

You can’t test 10x more code with the same old tools. As AI dramatically increases code volume and speed, traditional testing becomes a bottleneck. Teams need AI embedded across the entire testing lifecycle to scale testing, boost productivity, and keep releases moving fast without sacrificing quality — Alex Martins, VP of Strategy at Katalon Follow Katalon for more insights in our series!

A Shifting Left Success Story” takes you inside a real-world transformation where test automation was intentionally moved earlier in the development lifecycle — with measurable and lasting impact. This session unpacks the how, why, and key lessons learned from embedding Shift Left practices within a cross-functional team. You’ll discover what made the approach successful, where challenges emerged, and how a thoughtful Shift Left strategy can dramatically improve code quality, shorten feedback loops, and build greater trust between developers, testers, and product stakeholders.

AI can feel like a black box, but when it is tested like any other system, unexpected weaknesses begin to surface. This session explores how large language models can be pushed into unsafe or unintended behavior, revealing that AI is not immune to flaws, poor decisions, or broken assumptions.

Implementing the Playwright Framework with AI explores how to enhance test automation by integrating AI capabilities. This approach minimises code writings, eliminates traditional locator strategies, and ensures low test maintenance. The session will demonstrate how AI-driven solutions can simplify and optimise test automation, making it more efficient and scalable.

API tests are faster and more reliable than UI tests. So why aren’t more testers using them? In this session, we’ll learn what kinds of API tests to run, and how to easily configure them in Cypress. Your API tests can live alongside your UI tests, providing valuable fast feedback for the quality of your application!

Discover the groundbreaking convergence of Playwright and Generative AI that's transforming how web testing is approached. This session unveils a revolutionary capability where AI assists in automatically generating test scripts without requiring manual coding. Experience how this intelligent automation system can analyze your application, understand user flows, and create comprehensive test suites with minimal human intervention.

Is Kubernetes actually hard, or are we just using the wrong tools? In 2026, the Kubernetes ecosystem has become a "dependency jungle." Between GitOps, YAML configuration, kubectl mastery, and complex CI/CD pipelines, developers are spending more time managing infrastructure than writing code. In this video, Ken breaks down the "hard parts" of K8s and introduces a more efficient workflow using Speedscale. Learn how to gain instant visibility into your cluster, pull logs without the headache, and turn real-world traffic into actionable load tests.