#Software Engineers

LSP-AI provides open-source AI functionality integration for code editors such as VS Code, NeoVim, and Emacs, featuring in-editor chats and code completions. As a central AI backend, it supports plugin development and collaboration across the open-source community, compatible with numerous backends like OpenAI and Anthropic APIs. Future updates include expanded semantic search and backend options, aligning with AI software innovations.

A structured study guide for software engineers aiming to advance into machine learning, prioritizing practical application with minimal emphasis on complex mathematics. Suitable for individuals without a computer science degree, it presents a clear path covering key skills, project experiences, and theoretical understanding essential for machine learning roles. It encompasses resources including books for beginners and advanced video tutorials to build proficiency in tackling real-world challenges.

Learn about the 'System Design and Architecture' book, a valuable resource for software engineers. Since 2015, it has provided real-world examples from leading tech firms, including FANNG, along with a distinctive 4-step framework for design problem-solving. The book offers updated content on contemporary trends, complete with illustrative charts and diagrams, aimed at aiding both novices and veteran professionals in system design interviews and skill enhancement related to internet product development.