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Source channel @githubtrending · Post #15026 · Aug 3

#typescript#agentic_ai#ai#flow_based_programming#visual_ai#visual_programming#visual_programming_editor#visual_programming_language#vscode#vscode_extension Flyde is a free, open-source tool that lets you build and manage AI workflows visually inside your existing TypeScript codebase using VS Code. It helps you create, test, and improve complex backend AI logic like AI agents and prompt chains with a clear visual interface, making it easier for both developers and non-developers to collaborate. Flyde integrates directly with your code and tools, so you keep full control while simplifying development and debugging. This saves time, reduces errors, and improves teamwork on AI-powered backend projects. https://github.com/flydelabs/flyde

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@githubtrending · Post #15616 · 04/15/2026, 12:00 PM

#cplusplus#hap#mid_360#ros#ros2 Livox ROS Driver 2 connects your Livox LiDARs like HAP and Mid360 to ROS (Noetic) or ROS2 (Foxy/Humble/Jazzy) on matching Ubuntu versions. Clone the repo in a workspace/src folder, build Livox-SDK2, then run ./build.sh with your ROS version, and launch with roslaunch or ros2 launch files from launch_ROS1/ROS2 folders—edit JSON configs for IP, ports, frequency (up to 100Hz), and formats. This lets you quickly test and visualize point clouds in RViz for robotics development, saving time on setup and debugging. https://github.com/Livox-SDK/livox_ros_driver2

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@githubtrending · Post #14795 · 06/05/2025, 02:30 PM

#cplusplus#arducopter#ardupilot#arduplane#ardurover#ardusub#autopilot#auv#copter#drone#dronekit#mavlink#plane#robotics#ros#rov#rover#sub#uas#uav#ugv ArduPilot is a powerful and open-source autopilot system that can control many types of vehicles, including drones, planes, helicopters, and even submarines. It offers features like autonomous flight modes, programmable missions, and support for various sensors and communication systems. This system is highly reliable and customizable, making it beneficial for users who need advanced control over their vehicles. It also has a strong community and extensive documentation, which helps users learn and improve their projects. https://github.com/ArduPilot/ardupilot