StackGen has partnered with Google Cloud Platform (GCP) to bring its platform to the Google Cloud Marketplace.
CAST announced that ChatGPT integration is available to all users of its CAST Imaging product.
While navigating the internal structures of any complex custom-built application, architects and developers can now instantly see an explanation of what any of its objects does, right within CAST Imaging.
CAST Imaging automatically understands how software works. It visually maps the tens of thousands of code elements and all their relationships into a living knowledge base of the software internals, helping architects and developers quickly find what they need. Now, integrated with ChatGPT, it goes a step further and helps them decipher what each individual element does, within the overall system context and from a single pane of glass.
"With CAST Imaging, newcomers and veterans can communicate more effectively and accelerate understanding of impacts and efforts required to make changes or add new functionality—without extraneous consulttation or research," said CAST Imaging VP Luc Perard. "Architects can delve into legacy application intricacies and see in minutes what usually takes months to discover, while new team members can ramp up markedly faster."
Software-intensive companies and system integrators typically use CAST Imaging to preserve technical knowledge, onboard newcomers, speed up ongoing maintenance, derisk their application modernization and cloud refactoring efforts. The integration with ChatGPT helps them further increase their business agility.
Industry News
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Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade internal developer portal based on the Backstage project.
Platform9 announced that Private Cloud Director Community Edition is generally available.
Sonatype expanded support for software development in Rust via the Cargo registry to the entire Sonatype product suite.
CloudBolt Software announced its acquisition of StormForge, a provider of machine learning-powered Kubernetes resource optimization.