LLM Coordination is a developer-focused framework that orchestrates interactions between multiple large language models to solve complex tasks. It provides a planning component that breaks down high-level goals into sub-tasks, a retrieval module that sources context from external knowledge bases, and an execution engine that dispatches tasks to specialized LLM agents. Results are aggregated with feedback loops to refine outcomes. By abstracting communication, state management, and pipeline configuration, it enables rapid prototyping of multi-agent AI workflows for applications like automated customer support, data analysis, report generation, and multi-step reasoning. Users can customize planners, define agent roles, and integrate their own models seamlessly.

AppReview for Power Apps simplifies the code review process by allowing users to upload their Power Apps solutions or legacy app zips. The extension automatically extracts vital information and evaluates the code against best practices and common standards, making it easier for developers and organizations to maintain high-quality apps. This automated process not only saves time but also helps in identifying areas for improvement, ensuring that the apps function effectively and are built according to industry standards.