
Devin Desktop is an AI-native software development platform that serves as a central command center for managing coding agents, development workflows, and code execution. The platform combines a professional-grade IDE with agent orchestration capabilities, enabling developers to plan tasks, delegate work, review outputs, and collaborate with AI agents from a single interface. Developers can run local and cloud-based agents simultaneously, allowing multiple coding tasks to progress in parallel while maintaining shared context across projects. The platform includes features such as Spaces for shared worktrees, Fast Context for rapid codebase understanding, Supercomplete for predictive coding assistance, and comprehensive code review capabilities. Devin Desktop supports the Agent Client Protocol (ACP), enabling interoperability with different AI models and agent frameworks. The platform integrates with popular developer tools, including GitHub, Slack, Notion, Linear, Stripe, Datadog, Atlassian, and various language servers. Developers can inspect every change made by agents through built-in debugging, tracing, and review tools to ensure code quality and reliability. The platform is designed to streamline both individual and team-based software development workflows while reducing context switching. Devin Desktop enables engineering teams to increase development velocity by combining human oversight with autonomous AI execution.
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DbVisualizer is a universal database client for anyone who works with data, from indie developers and startups to professional teams managing complex database environments, including developers, DBAs, analysts, and data engineers working across relational and NoSQL databases.
Key features:
- SQL editor with intelligent autocomplete, visual query builders, variables, and execution tools
- AI Assistant for answering questions, explaining errors, and analyzing code
- Git integration for managing SQL scripts and team collaboration
- Customizable layouts, key bindings, and UI themes
- Favorites for frequently used scripts and database objects
- Configurable security settings for organizational requirements
Connects via JDBC to MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, BigQuery, and more. Runs on Windows, macOS, and Linux.
Nearly 7 million downloads, with Pro users in 150 countries, scaling from solo projects to enterprise database management.
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ServerDesk
ServerDesk is an AI-powered browser workspace for developers, DevOps engineers, agencies and IT teams who manage Linux servers and web applications.
Users can securely connect to remote servers via SSH, manage files, work with databases, inspect Docker containers, monitor server health and perform deployments directly from their browser. ServerDesk combines terminal access, file management, database tools, Docker management and AI-assisted troubleshooting into a single workspace.
Unlike traditional desktop-based server administration tools, ServerDesk provides a modern VS Code-inspired experience that works from anywhere without requiring local software installations. Teams can access their infrastructure, diagnose issues and manage applications through a unified browser interface.
ServerDesk is ideal for developers, hosting providers, agencies and businesses looking for a modern alternative to traditional cloud IDEs, remote server management tools and fragmented infrastructure workflows. It also provides an easy migration path for teams searching for a Codeanywhere alternative.
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KODE
KODE features a scalable architecture that consolidates all systems and sensors into an intuitive interface, enhancing energy efficiency and equipment performance across your entire portfolio. By equipping your team with straightforward and user-friendly technology, KODE drives operational excellence effectively. The platform is designed for System Integrators and Building Operators, offering the quickest, simplest, and most cost-effective integration experience available. With its vendor-agnostic approach, engineering firms can select the most suitable equipment for their projects, avoiding the hefty fees and complications that come from being tied to a single manufacturer's ecosystem. KODE’s data-driven strategy also focuses on continuous validation of device operations through data collected at both the device and point levels. Furthermore, KODE’s comprehensive suite of energy management tools and advanced machine learning analytics enhances building energy efficiency, minimizes equipment runtime, and significantly prolongs equipment lifespan, ultimately promoting sustainability in building management. This holistic approach not only optimizes current operations but also paves the way for future advancements in energy management.
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