%term

The AI Code Explosion: Why Your Mocking Strategy is Breaking Down

Jun 4, 2026 By Alan Mon In Speedscale

The rise of AI-assisted coding has transformed how software is built. With tools generating entire features in seconds, the bottleneck is no longer writing code—it’s verifying it. Because AI can generate boilerplate and handle API integrations instantly, more service changes are being pushed into authentication logic, API calls, and configurations. Teams desperately need a way to verify these changes before merging, especially when the code touches external dependencies.

Read Post

Speedscale

Read more about The AI Code Explosion: Why Your Mocking Strategy is Breaking Down

Testing AI Code is a Security Nightmare? #Speedscale #DevOps #Kubernetes #AICoding #SoftwareTesting

Jun 4, 2026 By Speedscale In Speedscale

AI can write a feature in seconds, but where are you testing it? Sending production traffic, API payloads, and auth headers to a third-party SaaS is a massive security risk. In this video, we break down why the Bring Your Own Cloud (BYOC) model is the ultimate fix for DevSecOps. Learn how to safely test AI-generated code against real production traffic entirely within your own VPC or Kubernetes cluster. No data leaks, no massive DLP pipelines, and no endless masking rules.

View Video

Speedscale

Read more about Testing AI Code is a Security Nightmare? #Speedscale #DevOps #Kubernetes #AICoding #SoftwareTesting

The Bug Hiding in Your Production Traffic

Jun 3, 2026 By Speedscale In Speedscale

Your logs showed 500 errors. The traces showed the dependency graph. Neither showed the actual bug, a DEL control character getting appended to the query string. This is how I found it. In this video I walk through Speedscale BYOC (bring your own cloud): capture real production traffic, store it in your own Elasticsearch cluster inside your VPC, pull it down locally with a single script, and reproduce the exact bug using proxymock. The data never leaves your environment.

View Video

Speedscale

Read more about The Bug Hiding in Your Production Traffic

Logs told me something broke. Traffic showed me what.

Jun 2, 2026 By Ken Ahrens In Speedscale

Here’s a problem I run into constantly: something breaks in production, I can see the 500 errors in my logs, but I can’t reproduce it locally. The trace shows me the dependency graph but not the actual request that failed. This is especially painful in microservices. I was looking at a CNCF example the other day (a simple demo app, like 4 pods) and it already had so many cross-service dependencies that understanding what broke required looking at the whole system at once.

Read Post

Speedscale

Read more about Logs told me something broke. Traffic showed me what.

QMetry walkthrough: Test management, automation & AI-powered testing

Jun 2, 2026 By SmartBear In SmartBear

Discover how QMetry streamlines test management with this comprehensive walkthrough covering requirements management, test design, test execution, automation, reporting, and AI-powered productivity features. Struggling with disconnected testing processes, manual test execution, and limited visibility into quality across your software development lifecycle? This complete QMetry tutorial shows testers, QA teams, and engineering organizations how to manage the entire testing workflow in a single platform, from requirements to release.

View Video

SmartBear

Read more about QMetry walkthrough: Test management, automation & AI-powered testing

Your AI agent is fixing the wrong service

Jun 1, 2026 By Ken Ahrens In Speedscale

Everyone wants an AI agent factory in 2026. Autonomous agents fixing bugs and shipping features while you sleep. I’ve been building toward that myself. But the error rates don’t support the fantasy. The best AI coding agents in the world fix about 50% of real bugs on SWE-bench verified. Half the time they fail. And AI-generated code produces 1.7x more issues than human-written code.

Read Post

Speedscale

Read more about Your AI agent is fixing the wrong service

Can we ship this release? Zephyr + Rovo has the answer

May 29, 2026 By SmartBear In SmartBear

We've been getting a lot of questions about how Rovo works with Zephyr, so Matt Bonner gives a quick look at a few of the capabilities teams are finding most valuable: Test case generation Test coverage insights Release Risk Analyzer.

View Video

SmartBear

Read more about Can we ship this release? Zephyr + Rovo has the answer

The Kubeshark Workflow That Doesn't Stop at the Dashboard

May 27, 2026 By Matthew LeRay In Speedscale

The Observability Gap shows up the moment you try to reproduce a production bug locally. Your traces tell you a request was slow. Your logs tell you which line printed. Neither tells you what was actually on the wire: the headers, the JSON body, the surprise field your client started sending last Tuesday. Until now, closing that gap meant SSHing to a node, attaching a debugger, or shipping a sidecar through change review.

Read Post

Speedscale

Read more about The Kubeshark Workflow That Doesn't Stop at the Dashboard

API Gateway vs AI Gateway - What Actually Changed?

May 27, 2026 By Kong In Kong

Kong's AI Gateway applies the same architectural pattern as the API Gateway — now governing LLM, MCP, and agent traffic at the infrastructure layer. Just as API gateways abstracted rate limiting, auth, and caching across microservices, AI gateways do the same for large language models and agents — with token budgets, semantic caching, and semantic routing replacing their REST equivalents. Kong breaks this into three layers: LLM Gateway, MCP Gateway for tool calls, and Agents Gateway for agent-to-agent traffic.#Shorts.

View Video