Progress announced new powerful capabilities and enhancements in the latest release of Progress® Sitefinity®.
SapientAI, creator of AI Test Coder, emerged from stealth with $5 million in seed funding from 8VC, Correlation Ventures and GTMfund.
SapientAI combines the power of generative AI with a code intelligence "co-pilot" to manage and generate test code for developers. Led by CEO/founder Rishi Singh (co-founder of DevOps platform company Harness), AI Test Coder generates precise test code to help developers build products faster and ensure releases are consistent across all platforms - without compromising quality.
"With AI Test Coder, developers can work with greater confidence knowing they have a 'partner' to reliably generate quality software applications reliably - making generative AI an invaluable technology at their disposal," says Singh. "ChatGPT has incredible capabilities but relies largely on preconceived notions to generate its output. We're adding deeper analysis and contextual understanding to help the AI generate test code based on the desired outcomes of the developer."
"SapientAI brings a game-changing approach to the software test market with its combination of software intelligence and generative AI," according to 8VC Partner Bhaskar Ghosh. "Rishi is an absolutely formidable repeat founder, having already built a high-value enterprise company focused on developers. It's a rare gift for the enterprise community that he wants to build another company focusing on developers - this time by helping them succeed in their new role as QA managers as the phenomenon of "shift-left" continues to grow. With Rishi's proven leadership, and the incredible team he has assembled, SapientAI is singularly well-positioned to accelerate the push towards accelerated, high-quality software development."
AI Test Coder is available for free to developers as an IDE plugin to help them focus on building great applications -- not manually writing code. It combines generative AI and code intelligence to provide software developers with a testing "co-pilot." Far from only creating code, AI Test Coder ensures that the test code is correct, with no guesswork.
AI Test Coder works by:
- Inspecting Code: AI Test Coder instantly inspects all software code to understand the full spectrum of the software testing environment for underlying issues. It identifies incorrect assumptions before generating any test code. The contextual analysis identifies costly errors and bugs before they wreak havoc across applications.
- Predicting Code Issues: AI Test Coder leverages code intelligence to understand existing code and automatically identify patterns where new software issues may arise. It locates where code changes will have an effect before generating the test code. It eliminates wasted time spent manually debugging code and frees developers to build great applications.
- Generating Test Code: Primed with code insights, AI Test Coder generates test code with a deep understanding of complex software environments for highly accurate and reliable tests. It knows what needs testing in each application, regardless of the environment. Developers don't have to write and manage test codes repeatedly or resort to trial and error, as they would using only generative AI.
"Generative AI is revolutionizing how people will develop software," according to Singh. "We're focusing on creating a new test code-generating process that works smarter by anticipating potential issues. With AI Test Coder, developers now have a supportive test assistant to manage the entire test and quality lifecycle."
Industry News
Red Hat announced the general availability of Red Hat Enterprise Linux 9.5, the latest version of the enterprise Linux platform.
Securiti announced a new solution - Security for AI Copilots in SaaS apps.
Spectro Cloud completed a $75 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives with participation from existing Spectro Cloud investors.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:
Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.
Salesforce announced agentic lifecycle management tools to automate Agentforce testing, prototype agents in secure Sandbox environments, and transparently manage usage at scale.
OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.
Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.
Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.
Rafay Systems announced new platform advancements that help enterprises and GPU cloud providers deliver developer-friendly consumption workflows for GPU infrastructure.
Apiiro introduced Code-to-Runtime, a new capability using Apiiro’s deep code analysis (DCA) technology to map software architecture and trace all types of software components including APIs, open source software (OSS), and containers to code owners while enriching it with business impact.
Zesty announced the launch of Kompass, its automated Kubernetes optimization platform.
MacStadium announced the launch of Orka Engine, the latest addition to its Orka product line.