Visual COBOL Reviews

Cody is a sophisticated AI coding assistant created by Sourcegraph to improve software development's efficiency and quality. It works effortlessly within popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains tools, offering features like AI-enhanced chat, code autocompletion, and inline editing, all while preserving existing workflows. Tailored for both solo developers and collaborative teams, Cody focuses on maintaining consistency and quality throughout entire codebases by leveraging extensive context and shared prompts. Moreover, it broadens its contextual insights beyond mere code by integrating with platforms like Notion, Linear, and Prometheus, thus creating a comprehensive picture of the development landscape. By utilizing advanced Large Language Models (LLMs), including Claude 3.5 Sonnet and GPT-4o, Cody provides customized assistance that can be fine-tuned for various applications, striking a balance between speed and performance. Users have reported notable increases in productivity, with some indicating time savings of around 5-6 hours weekly and a doubling of their coding efficiency when utilizing Cody. As developers continue to explore its features, the potential for Cody to transform coding practices becomes increasingly evident.

A comprehensive managed compute platform designed to rapidly and securely deploy and scale containerized applications. Developers can utilize their preferred programming languages such as Go, Python, Java, Ruby, Node.js, and others. By eliminating the need for infrastructure management, the platform ensures a seamless experience for developers. It is based on the open standard Knative, which facilitates the portability of applications across different environments. You have the flexibility to code in your style by deploying any container that responds to events or requests. Applications can be created using your chosen language and dependencies, allowing for deployment in mere seconds. Cloud Run automatically adjusts resources, scaling up or down from zero based on incoming traffic, while only charging for the resources actually consumed. This innovative approach simplifies the processes of app development and deployment, enhancing overall efficiency. Additionally, Cloud Run is fully integrated with tools such as Cloud Code, Cloud Build, Cloud Monitoring, and Cloud Logging, further enriching the developer experience and enabling smoother workflows. By leveraging these integrations, developers can streamline their processes and ensure a more cohesive development environment.

The Open Automation Software IIoT platform supports both Windows and Linux, enabling users to harness their Industry 4.0 data efficiently. OAS serves as an unrestricted IoT Gateway compatible with various systems, including Windows, Linux, Raspberry Pi 4, and Windows IoT Core, and it facilitates the deployment of Docker containers. It offers HMI visualizations for web applications, as well as WPF and WinForm C# or VB.NET applications. Data logging capabilities extend to SQL Server, MS Access, Oracle, MySQL, Azure SQL, PostgreSQL, and Cassandra for alarms and logs. The platform includes both MQTT Broker and Client interfaces, providing seamless cloud connectivity to Azure IoT Gateway and AWS IoT Gateway. Users can leverage remote Excel Workbooks for data reading and writing, while alarm notifications can be sent through voice alerts, SMS, and email. Access to programmatic data is available via REST API and .NET, ensuring flexibility in integration. The system is compatible with a range of Allen Bradley PLCs, including ControlLogix, CompactLogix, GuardLogix, Micro800, MicroLogix, SLC 500, and PLC-5. Additionally, it supports Siemens PLCs such as S7-220, S7-3300, S7-405, S7-490, S7-1200, and S7-1500. Communication protocols include Modbus TCP, RTU, and ASCII for both Master and Slave configurations. Furthermore, the platform is compatible with OPTO-22, MTConnect, OPC UA, and OPC DA, enhancing its interoperability within various industrial environments. This extensive functionality makes the OAS platform an invaluable tool for modern industrial automation and data management.