Explores three methods to automate security questionnaire responses using LLMs, from SaaS vendors to custom RAG systems and direct ChatGPT/Claude use.
Explores how AI-generated content challenges traditional work review heuristics and the need for new evaluation methods.
A guide to automating the fine-tuning of AI agent workflows using the Qodo CLI, based on analyzing execution logs to improve instructions.
A tutorial on automating PostgreSQL performance debugging in Rails using LLMs and the Model Context Protocol (MCP) with a Slack bot interface.
An analysis of Generative AI's impact on coding and writing, exploring its benefits, limitations, and potential consequences for human creativity.
A developer details the iterative UI design process for the 'Ask AI' feature in their note-taking app, Edna, focusing on API key clarity.
A developer's guide to calling various LLM APIs (OpenAI, Grok, Anthropic, Google) directly from the browser, including workarounds and using OpenRouter.
A technical exploration of llmfs, a FUSE filesystem where all file operations are dynamically generated and controlled by an LLM.
A guide to adding long-term memory to a Gemini 2.5 chatbot using the Mem0 library and vector databases for personalized AI interactions.
Explores the role of 'Expert Generalists' in tech, their key traits, and why they are increasingly vital alongside specialists and LLMs.
Explains why Context Engineering, not just prompt crafting, is the key skill for building effective AI agents and systems.
A developer documents their experience using the gemini-cli tool to create a Chrome Extension with AI assistance, including setup and features.
The article explores the concept of 'Expert Generalists'—professionals who span multiple specialties—and how to identify, hire, and train them.
A guide for tech leaders on choosing between traditional coding, training models, and prompting LLMs for software development, based on Andrej Karpathy's concepts.
Explores the trade-offs between single-agent and multi-agent AI systems, discussing their characteristics, pros, and cons for different tasks.
Explores the key traits of 'Expert Generalists'—professionals who bridge multiple specialties—and their growing importance in tech.
A technical writer's analysis of common pitfalls in LLM-generated writing and practical strategies for using AI tools effectively while maintaining quality.
Argues that the 'LLMs only predict tokens' critique fails, as human brains are similarly opaque systems that process input to produce output without conscious understanding.
A developer's personal exploration and critique of using AI coding assistants like GitHub Copilot and Claude, examining their impact on the craft of programming.
A presentation on using Large Language Model (LLM) techniques to enhance Recommendation Systems (RecSys) and Search, from the AI Engineer World's Fair 2025.
