A technical guide on using Foundation Models for structured content generation in Swift, including code examples for generating typed AI responses.
A developer shares their current AI-powered coding workflow, detailing tools like Ghostty, Claude, and GPT-5 for maximum productivity.
A rebuttal to Dwarkesh Patel's skepticism about near-term AGI, arguing his limited AI usage experience leads to flawed conclusions.
A guide to the Model Context Protocol (MCP) for AI agents, explaining its core capabilities using a story-driven example.
Argues that reading raw AI input/output data is essential for developing true intuition about system behavior, beyond just metrics.
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A developer explores 'vibe coding' with AI tools like Claude Code, arguing it's best for prototypes and personal tools, not production-ready software.
Analysis of Claude Code's capabilities, arguing it represents a major AI leap comparable to ChatGPT and is a step towards proto-AGI for automating knowledge work.
A developer explains why they are switching from the AI-native Cursor editor to using Claude Code within VSCode for AI-powered programming.
An AI assistant analyzes a developer's chaotic, high-speed workflow using multiple AI agents as 'slot machines' to build apps faster.
A guide for tech leaders on choosing between traditional coding, training models, and prompting LLMs for software development, based on Andrej Karpathy's concepts.
Guide on integrating Prompty with Microsoft's Foundry Local for managing AI prompts and running models locally for development.
A developer's journey from skepticism to embracing AI coding assistants like Claude, discovering they act as collaborative pair programmers rather than replacements.
A developer shares his 'vibe coding' workflow, building a macOS menu bar app to monitor AI tool costs live with AI assistance.
A beginner's guide to the Model Context Protocol (MCP) for building scalable AI applications with tutorials in C#, Python, Java, and TypeScript.
A technical cheatsheet for using Google's Gemini AI models with the LangChain framework, covering setup, chat models, prompt templates, and image inputs.
A curated list of must-see developer sessions from Microsoft Build 2025, focusing on AI, cloud, and development tools.
Announcing EpicAI.pro, a new learning platform focused on building applications for the AI era, teaching foundational principles for AI-agent interaction.
Reflections on the first unit of the Hugging Face Agents course, focusing on the potential and risks of code agents and their evaluation.
Explores four main approaches to building and enhancing reasoning capabilities in Large Language Models (LLMs) for complex tasks.
A guide to building AI applications using the LangChain framework, covering core concepts, installation, and practical examples.
