Chainguard
Chainguard Containers provide a trusted set of minimal, zero-CVE container images with a top-tier CVE remediation SLA—addressing critical vulnerabilities within 7 days, and high, medium, and low within 14—enabling teams to build and deploy software more confidently.
As modern development workflows and CI/CD pipelines depend on secure, up-to-date containers for cloud-native applications, Chainguard offers streamlined images built entirely from source in a hardened, secure build environment. Designed for both engineering and security stakeholders, Chainguard Containers reduce the manual overhead of managing vulnerabilities, improve application resilience by shrinking the attack surface, and accelerate go-to-market by simplifying alignment with compliance standards and customer security expectations.
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Google AI Studio
Google AI Studio is a user-friendly, web-based workspace that offers a streamlined environment for exploring and applying cutting-edge AI technology. It acts as a powerful launchpad for diving into the latest developments in AI, making complex processes more accessible to developers of all levels.
The platform provides seamless access to Google's advanced Gemini AI models, creating an ideal space for collaboration and experimentation in building next-gen applications. With tools designed for efficient prompt crafting and model interaction, developers can quickly iterate and incorporate complex AI capabilities into their projects. The flexibility of the platform allows developers to explore a wide range of use cases and AI solutions without being constrained by technical limitations.
Google AI Studio goes beyond basic testing by enabling a deeper understanding of model behavior, allowing users to fine-tune and enhance AI performance. This comprehensive platform unlocks the full potential of AI, facilitating innovation and improving efficiency in various fields by lowering the barriers to AI development. By removing complexities, it helps users focus on building impactful solutions faster.
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Visual COBOL
Visual COBOL offers COBOL integration and development tools in Visual Studio Code, Eclipse, or Visual Studio Code. This gives programmers unparalleled development experience. Visual COBOL is a tool that allows you to transform core business systems that were written in COBOL with the latest technologies, including JVM, Containers, Cloud, and.NET. The next chapter in COBOL Innovation is Visual COBOL 7. This latest release offers new and exciting development capabilities for Micro Focus COBOL apps. Visual Studio Code, a new open-source toolkit for COBOL development, is now available to you. Visual COBOL 7.0 continues Micro Focus' commitment to COBOL deployment on a wide range of platforms, including new Linux distributions and.NET core, Docker container, Azure Cloud, and AWS. For deployment within the Java Virtual Machine, compile COBOL applications to Javabyte code.
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AWS Toolkit for Visual Studio Code
The AWS Toolkit for Visual Studio Code is a free and open-source extension that enhances Visual Studio Code by simplifying the processes of developing, debugging, and deploying applications on Amazon Web Services. By utilizing the AWS Toolkit for Visual Studio Code, developers can accelerate their workflow and increase productivity while working on AWS projects within the IDE. This toolkit delivers a comprehensive environment for crafting serverless applications, featuring support for initial setup, machine learning-driven code suggestions, interactive debugging, and deployment capabilities directly from the integrated development environment, ensuring a seamless development experience. Moreover, it empowers developers to leverage AWS services efficiently, making it an essential tool for anyone looking to optimize their cloud application development.
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