
JetBrains Junie is an innovative AI coding assistant that works inside many JetBrains IDEs to streamline programming efforts and boost efficiency. This agent leverages advanced AI to help developers write, test, and inspect code without leaving their familiar development environment. Junie offers both code execution and interactive collaboration, allowing programmers to switch between automated code writing and brainstorming sessions for features and improvements. By deeply understanding the codebase, Junie identifies the best ways to tackle tasks and ensures all changes meet quality standards through syntax and semantic checks. It also runs tests to minimize errors and keep the project healthy, freeing developers from routine tasks. Many developers have successfully built complex applications and games using Junie, highlighting its flexibility across different languages and frameworks. The AI adapts to each task’s complexity and workflow, making coding less tedious and more focused on creativity. Whether you are building a simple web app or a complex game, Junie offers smart support throughout the development cycle.
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JS7 JobScheduler, an Open Source Workload Automation System, is designed for performance and resilience. JS7 implements state-of-the-art security standards. It offers unlimited performance for parallel executions of jobs and workflows.
JS7 provides cross-platform job execution and managed file transfer. It supports complex dependencies without the need for coding. The JS7 REST-API allows automation of inventory management and job control.
JS7 can operate thousands of Agents across any platform in parallel.
Platforms
- Cloud scheduling for Docker®, OpenShift®, Kubernetes® etc.
- True multi-platform scheduling on premises, for Windows®, Linux®, AIX®, Solaris®, macOS® etc.
- Hybrid cloud and on-premises use
User Interface
- Modern GUI with no-code approach for inventory management, monitoring, and control using web browsers
- Near-real-time information provides immediate visibility to status changes, log outputs of jobs and workflows.
- Multi-client functionality, role-based access management
- OIDC authentication and LDAP integration
High Availability
- Redundancy & Resilience based on asynchronous design and autonomous Agents
- Clustering of all JS7 Products, automatic fail-over and manual switch-over
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Ready Player Me
Ready Player Me is a cross platform avatar platform for the metaverse. It allows you to create a 3D avatar using a selfie, and then use it in 600+ compatible games and apps. With your avatar, you can explore virtual worlds with VRChat, join MeetinVR meetings, or stream to your followers using LIV. Our free avatar SDK allows developers to integrate Ready Player Me into their games and apps. It is compatible with Unity and Unreal Engine, and works great on desktop, mobile, and web platforms.
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getReal3D
Mechdyne’s getReal3D for Unity empowers users to effortlessly construct intricate worlds within a well-known game engine and engage with them in a virtual reality (VR) setting, including options like CAVEs, Powerwalls, and Head Mounted Displays (HMDs). This innovative solution allows organizations to create tailored business experiences that cater specifically to their unique requirements. With getReal3D, users can develop content within an expansive VR display, immersing themselves in a life-sized environment that enhances realism. The installation and configuration of getReal3D across multiple screens, managed by a network of PCs, is straightforward and user-friendly. Additionally, its support for 3D stereo and motion tracking facilitates extended periods of engagement in the VR space, thereby boosting productivity while minimizing motion sickness. Importantly, this immersive experience ensures that users feel a strong sense of presence, as they actively inhabit the VR world rather than merely observing it, which significantly enriches their interaction and engagement with the content. This approach not only enhances user experience but also promotes collaboration among team members who are navigating the same virtual landscape together.
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