Red Hat announced jointly-engineered, integrated and supported images for Red Hat Enterprise Linux across Amazon Web Services (AWS), Google Cloud and Microsoft Azure.
Testsigma introduced autonomous testing capabilities to its automation suite — powered by AI coworkers that collaborate with QA teams to simplify testing, speed up releases, and elevate software quality.
The company also unveiled a new Test Management product designed to empower QA teams to work with autonomy, with the support of AI agents that assist in planning, executing, optimizing, and reporting test cycles.
With this launch, Testsigma offers end-to-end autonomous testing capabilities for both automation and manual testing teams, unifying workflows and accelerating quality at scale.
“We’ve always believed that testing should be accessible and intelligent. With this, we’re taking a major leap forward - putting AI agents in the hands of every tester, not just automation engineers,” said Rukmangada Kandyala, Founder and CEO of Testsigma. “Manual and automated testing are no longer separate silos. With agentic testing, QA becomes a fast-moving discipline that can keep up with modern development speeds.”
Testsigma’s AI-powered automation has already engineering teams to ship faster by generating and running test cases in plain English - no setup, no code required. Now, with the addition of its AI coworker Atto and a reimagined test management system, the platform becomes fully autonomous and inclusive.
For Automation Teams: Atto is an AI coworker, mobilizing dozens of AI agents to autonomously generate tests from requirements, designs, code changes, and live applications. It runs tests at scale across browsers and devices, self-heals broken tests, analyzes failures, and surfaces actionable insights in real time. This approach integrates effortlessly into DevOps pipelines, enabling teams to test continuously and deliver reliable, high-quality software at speed.
For Manual Testing Teams: The new Test Management product introduces agentic testing, where AI agents assist quality analysts throughout the testing lifecycle—analyzing requirements, generating test cases, executing test cases on the browser, tracking progress, surfacing gaps, and reporting bugs. It replaces decades-old test management tools, spreadsheets, and manual grunt work with intelligent, AI-assisted testing that's faster, smarter, and efficient.
While most AI testing tools are limited to generating code, Testsigma takes a fundamentally different approach. Its AI agents are purpose-built to work autonomously across the entire testing lifecycle—dramatically boosting tester productivity. By offloading repetitive and procedural tasks to AI, Testsigma frees testers, regardless of technical background, to focus on higher-value work: understanding customers, providing richer context to agents, and driving strategic quality initiatives.
Industry News
Komodor announced the integration of the Komodor platform with Internal Developer Portals (IDPs), starting with built-in support for Backstage and Port.
Operant AI announced Woodpecker, an open-source, automated red teaming engine, that will make advanced security testing accessible to organizations of all sizes.
As part of Summer '25 Edition, Shopify is rolling out new tools and features designed specifically for developers.
Lenses.io announced the release of a suite of AI agents that can radically improve developer productivity.
Google unveiled a significant wave of advancements designed to supercharge how developers build and scale AI applications – from early-stage experimentation right through to large-scale deployment.
Red Hat announced Red Hat Advanced Developer Suite, a new addition to Red Hat OpenShift, the hybrid cloud application platform powered by Kubernetes, designed to improve developer productivity and application security with enhancements to speed the adoption of Red Hat AI technologies.
Perforce Software announced Perforce Intelligence, a blueprint to embed AI across its product lines and connect its AI with platforms and tools across the DevOps lifecycle.
CloudBees announced CloudBees Unify, a strategic leap forward in how enterprises manage software delivery at scale, shifting from offering standalone DevOps tools to delivering a comprehensive, modular solution for today’s most complex, hybrid software environments.
Azul and JetBrains announced a strategic technical collaboration to enhance the runtime performance and scalability of web and server-side Kotlin applications.
Docker, Inc.® announced Docker Hardened Images (DHI), a curated catalog of security-hardened, enterprise-grade container images designed to meet today’s toughest software supply chain challenges.
GitHub announced that GitHub Copilot now includes an asynchronous coding agent, embedded directly in GitHub and accessible from VS Code—creating a powerful Agentic DevOps loop across coding environments.
Red Hat announced its integration with the newly announced NVIDIA Enterprise AI Factory validated design, helping to power a new wave of agentic AI innovation.
JFrog announced the integration of its foundational DevSecOps tools with the NVIDIA Enterprise AI Factory validated design.
GitLab announced the launch of GitLab 18, including AI capabilities natively integrated into the platform and major new innovations across core DevOps, and security and compliance workflows that are available now, with further enhancements planned throughout the year.