The Linux Foundation, the nonprofit organization enabling mass innovation through open source, announced the launch of the Agent2Agent (A2A) project, an open protocol created by Google for secure agent-to-agent communication and collaboration.
Appvance announced the launch of Level 5 automation for software testing by delivering AI-driven application validation framework.
Appvance.ai has deployed machine learning technology that can "blueprint" an application, and relearns on its own each time the build changes, and autonomously generate comprehensive smoke, regression and performance test scripts. Its AI automatically adapts these scripts when the build changes with its "self-healing" capability eliminating the need for test script maintenance.
Modeled after the driverless vehicle levels defined by SAE (Society of Automobile Engineers), the software QA industry has adopted similar metrics for QA automation. Each increasing level also increases QA team productivity and helps organizations accelerate DevOps with improved quality and reduced cost.
- Level 0 is manual testing, still 70% of the testing today.
- Level 1 is scripting at around 25% of testing. This methodology was introduced in the mid 1990's.
- Level 2 is codeless script generation or recording at around 5% of testing today.
- Level 3 introduces the first hints of machine learning such as self-healing scripts or monkey bots. Appvance was the first to introduce self-healing scripts in 2016.
- Level 4 is automatically generating scripts with no human intervention, scripting or recording. Appvance announced Level 4 in 2017.
- Level 5 is self-generating tests which are able to validate complex actions or data or elements generally at or above human capabilities and do so autonomously.
Substantial productivity benefits and a "hands-off, minds-off" capability occurs once one reaches true Level 4, which may be 100X+ more productive than teams at Level 3.
"The introduction of Level 5 to our first customers this month is a game changer for QA and the software development lifecycle" said Kevin Surace, CEO, Appvance "Developers and QA teams can dramatically improve DevOps speed and outcomes leveraging AI and machine learning to handle what were long, arduous and often mundane repetitive tasks."
Leveraging 19 areas of artificial intelligence, Appvance IQ can generate thousands of scripts by itself, which mimic human actions with web applications, then validate that the UX indeed acted as it was expected.
Appvance IQ offers the following general capabilities:
- AI generated data-driven scripts in under an hour;
- Advanced validations which can compare expected values with actual UI results;
- Functional, regression, performance, load and security testing;
- Tests new features in a build as well as existing features, autonomously;
- Full CI/CD integration – AIQ becomes an integral part of the DevOps and agile workflow with continuous testing;
- Cloud or on-prem deployment; and
- Optional test creation with 3rd generation self-healing Test Designer for UX and API level; scripts.
Appvance IQ is available to select enterprise-class customers through an exclusive engagement process.
Industry News
Salesforce announced Agentforce 3: a major upgrade to its digital labor platform that gives companies the visibility and control to scale AI agents without compromise.
Wix.com Ltd. announced its acquisition of Base44, an AI-powered platform that enables anyone to create fully-functional, custom software solutions and applications using natural language, without the need for traditional coding.
Code Platoon, a nonprofit coding bootcamp for Veterans, active duty Servicemembers, and military families, is proud to announce the launch of its newly revamped AI Cloud and DevOps Engineering program.
Salt Security announced the launch of Salt Cloud Connect for AWS, an API security solution to deliver full API visibility and posture governance without the need for traffic data or agents.
CoreWeave announced the launch of three new AI cloud software products and capabilities to help customers develop, deploy, and iterate AI faster.
BrowserStack announced support for Playwright tests on real iOS devices with Safari.
JFrog announced a partnership with TL Consulting, an Australian-based professional services organization specializing in cloud-native, GitHub and Microsoft DevSecOps implementations.
Kusari unveiled Kusari Inspector, an artificial intelligence (AI)-based pull request security tool that brings cutting-edge security risk analysis directly into developers’ daily workflows.
Secure Code Warrior announced the availability of AI Security Rules on GitHub – a free resource to help developers generate more secure code when working with AI coding tools like GitHub Copilot, Cline, Roo, Cursor, Aider and Windsurf.
Mirantis announced a comprehensive reference architecture for IT infrastructure to support AI workloads.
Operant AI announced the launch of MCP Gateway, an expansion of its flagship AI Gatekeeper™ platform, that delivers comprehensive security for Model Context Protocol (MCP) applications.
Oracle has expanded its collaboration with NVIDIA to help customers streamline the development and deployment of production-ready AI, develop and run next-generation reasoning models and AI agents, and access the computing resources needed to further accelerate AI innovation.
Datadog launched its Internal Developer Portal (IDP) built on live observability data.
Azul and Chainguard announced a strategic partnership that will unite Azul’s commercial support and curated OpenJDK distributions with Chainguard’s Linux distro, software factory and container images.