Interview Coder is a powerful desktop application that assists users in solving coding problems during technical interviews. It is designed to be invisible to screen-sharing software, ensuring that users can use it without detection. The app provides detailed solutions with comments and explanations, helping users understand and articulate their approach. It supports multiple programming languages and offers features like screen sharing detection, solution reasoning, and webcam monitoring. The app is subscription-based and available for both Windows and Mac platforms.

Autonomais is a modular AI agent framework designed for full autonomy in task planning and execution. It integrates large language models to generate plans, orchestrates actions via a customizable pipeline, and stores context in memory modules for coherent multi-step reasoning. Developers can plug in external tools like web scrapers, databases, and APIs, define custom action handlers, and fine-tune agent behavior through configurable skills. The framework supports logging, error handling, and step-by-step debugging, ensuring reliable automation of research tasks, data analysis, and web interactions. With its extensible plugin architecture, Autonomais enables rapid development of specialized agents capable of complex decision-making and dynamic tool usage.

DeepSeek R1 represents a significant breakthrough in artificial intelligence, delivering top-tier performance in reasoning, mathematics, and coding tasks. Utilizing a sophisticated MoE (Mixture of Experts) architecture with 37B activated parameters and 671B total parameters, DeepSeek R1 implements advanced reinforcement learning techniques to achieve state-of-the-art benchmarks. The model offers robust performance, including 97.3% accuracy on MATH-500 and a 96.3% percentile ranking on Codeforces. Its open-source nature and cost-effective deployment options make it accessible for a wide range of applications.