Systems | Development | Analytics | API | Testing

From Palette to Interface: Exploring Nodlume's Free Design Tools

Designing an interface means making decisions that need to work together. Colors establish emphasis, typography separates headings from supporting information, and spacing gives related elements room to form clear groups. A useful starting point is a small, reusable set of choices that you can test on a representative screen before applying them throughout a project.

How to Use the Network Tab in Chrome DevTools: Find Failed Requests, Payload and Response #Shorts

How to use the Network tab in Chrome DevTools: open DevTools, reload the page, filter to Fetch/XHR, then click a request to read its Headers, Payload and Response. A status in the 400s or 500s tells you which request failed.

7 Best Cloud Computer Environments for Autonomous AI Agents

An AI agent can understand a request perfectly and still fail to complete it. The browser loses its authenticated session. A downloaded file disappears when the environment closes. A website presents an unexpected dialog. Two tasks accidentally share the same account state. These failures happen in the execution environment, where an agent's decisions become actions.

Migrating Gatling Simulations to OctoPerf With an AI Agent

Migrating a load testing project is rarely difficult, but it takes time and it's easy to give up halfway. That's why OctoPerf 18 comes with a Gatling migration playbook for AI agents. In our NeoLoad and LoadRunner walkthroughs, the projects were converted into JMeter Virtual Users. A Gatling simulation is code, so here it stays code: the agent rewrites it as a K6 script, and its injection profile becomes an OctoPerf scenario.

5 Questions to Ask Before the Next Cloud Outage

On October 20, a power failure in one of Google Cloud’s three London zones disrupted Revolut, Lloyds, HSBC and others for hours. One zone failed, errors spread region-wide, and Google warned customers they might not be able to create new workloads to fail over to. Most teams find out how resilient they are during an outage, not before one. These five questions let you find out first.

How to test Jira tickets automatically with an AI QA agent | SmartBear BearQ for Jira

You can add AI-driven testing to your Jira workflow by handing tickets to the QA Lead Agent in SmartBear BearQ for Jira. Move a finished ticket, and the agent checks for an existing test, links or creates one, runs it, and reports back. If your team builds with coding agents like Claude or Cursor in Jira, BearQ, the agentic QA system, adds the quality step to that AI-driven software development lifecycle (SDLC).

The Security Domino Effect: Why Trust Can't Be an Afterthought in AI

In interconnected software environments, a security vulnerability rarely exists in isolation. A weakness in one component can expose credentials, create unintended access paths, or give attackers a foothold in connected services. The consequences depend on what that component can access, the permissions it holds, and the safeguards around it. As organizations adopt cloud platforms, third-party integrations, and AI-powered development tools, the boundaries between systems matter more than ever.

Test AI-Generated Code with Real Traffic#aiagents #devops #observability #shiftleft #softwaretesting

AI can generate code in seconds, but testing it against real production behavior is where developers get stuck. Learn how capturing and replaying actual production traffic in development helps you catch bugs before you deploy!

Sergey Tokarev's Tokarev Foundation and SET University Announce Generation H Winners

Ukrainian university SET University and Sergey Tokarev's Tokarev Foundation have announced the winners of the third season of the Generation H healthtech accelerator. At the final, held on 10 September in Kyiv, the main prizes went to two medical technology startups: AtriaPRM and Enhance Your Ability. The former uses AI to automate doctors' work with medical documentation, while the latter is a platform for children who do not use spoken language.

AI Workspace + Tosca: Building agentic test cases for SAP Fiori apps

Going from a written requirement to an executable test usually means writing the steps and data yourself, then mapping each one to the application by hand. Pair Tricentis AI Workspace's requirement analysis with Tosca's agentic automation to go from a Jira ticket to a running, reusable test case for your SAP Fiori applications. In this walkthrough, you will see how to generate a test case from a requirement, map it to the Fiori UI, and save it for regression.