The AI Code Analyzer is a powerful tool designed for developers to analyze and understand their code. It provides insights into the code’s purpose, the language used, the frameworks applied, and the overall structure. With its advanced AI capabilities, users can quickly gain an understanding of complex codebases, facilitating better coding practices and collaboration among team members. Whether it's for debugging, documentation, or educational purposes, this tool enhances the coding experience by providing a clear picture of what the code does.

LightJason Benchmark offers a comprehensive set of predefined and customizable scenarios to stress-test and evaluate multi-agent applications built on the LightJason framework. Users can configure agent counts, communication patterns, and environmental parameters to simulate real-world workloads and assess system behavior. Benchmarks gather metrics such as message throughput, agent response times, CPU and memory consumption, logging results to CSV and graphical formats. Its integration with JUnit allows seamless inclusion in automated testing pipelines, enabling regression and performance testing as part of CI/CD workflows. With adjustable settings and extensible scenario templates, the suite helps pinpoint performance bottlenecks, validate scalability claims, and guide architectural optimizations for high-performance, resilient multi-agent systems.