Clarifies the distinction between Tools (primitive functions), Skills (complex workflows), and the Model Context Protocol (MCP) in agentic AI, providing an architectural framework for developers to choose the right abstraction for their use case.

Provides a practical guide to implementing a persistent memory system for AI coding agents, advocating for a simplified, file-based approach with a manual ‘/save’ command to capture session context, delivering most of the value with minimal complexity.

Outlines a disciplined, four-phase framework for rapidly building a production-ready iOS MVP using an AI assistant, emphasizing rigorous upfront system design, sequenced prompting, and a strict validation loop with atomic Git commits.

Analyzes the viral success of OpenClaw, an open-source AI assistant that operates locally with OS-level execution, exploring its key innovations like proactive tasks and a decentralized skill ecosystem, while also highlighting its significant security implications.

A strategic guide for developers on how to start contributing to open source, from finding the right project and understanding contribution guidelines to making impactful first contributions and leveraging AI tools.

A focused look at the social commentary within ‘Anna Karenina,’ analyzing a key passage on the shifting landscape of 19th-century marriage customs and the inherent conflict between tradition and emerging modernity.

A critical analysis of characterization in Tolstoy’s ‘Anna Karenina,’ examining the nuanced descriptions of Stepan Arkadyich and Levin to reveal themes of social vanity, personal hypocrisy, and authentic human connection.

Elevate your resume with this strategic guide, focusing on crafting a powerful three-sentence summary, showcasing impact-driven achievements in your work experience, and curating a precise skill set to capture recruiters’ attention and secure interviews.