
Claude Code Setup: CLAUDE.md, MCPs, Skills (Definitive Guide)
Stop duct-taping configs. This is the clean, reproducible way to set up Claude Code: a minimal CLAUDE.md, reusable skills, MCP tool connections, and quality-of-life hooks.
AI engineering insights, automation workflows, and technical deep-dives into AI systems, A2A communication, and MCP integration

Stop duct-taping configs. This is the clean, reproducible way to set up Claude Code: a minimal CLAUDE.md, reusable skills, MCP tool connections, and quality-of-life hooks.

Kimi K2.5 is not the best model for everything, but it is often the best value for routine engineering work. This guide shows where Kimi wins, where Claude and Codex are stronger, and how to choose the right model by task type.

Two AI coding agents dropped on the same day. I tested both at enterprise scale. Here's why Claude Opus 4.6 wins despite what the benchmarks say.

Managing production prompts for AI agents is a nightmare. Learn how to avoid the '30 txt files' chaos, prevent prompt drift, and implement modular versioning for scalable agentic systems.

Learn how to set up OpenClaw on a Google Cloud Platform VM with Ubuntu Desktop GUI and Chrome Remote Desktop. Step-by-step tutorial for running this AI agent 24/7 in the cloud.

After one month of intensive testing with Kimi K2.5 and Claude Sonnet 4.5/Opus 4.5, here's the hard truth: one model costs 3x more, but the gap in capability is smaller than the price suggests.

Your AI prompts are scattered across 50 Python f-strings and you deploy to change the tone of a chatbot. There's a better way: treat prompts as infrastructure with modular injection, templating, and unit tests.

Zero-shot is fast but misses nuance. CoT nails complex reasoning but costs 2-5x more. After months of testing, here's exactly when to use each prompting approach.

Learn to build a custom AI business chatbot using n8n without code. This guide covers creating mock data, setting up OpenAI, and testing prompts to prototype your business logic fast.

Deploy n8n to Google Cloud Platform in 5 minutes with automatic HTTPS. One-command installation script for production-ready n8n self-hosting at $10+/month. Includes Docker, SSL, and complete GCP setup tutorial.

What's the difference between an AI toy and an enterprise-grade AI tool? The answer is context. Most developers only provide a single layer of context, which leads to failure. In this guide, we'll explore the 5-part framework for building a truly AI-Ready project, ensuring your AI agents are precise, efficient, and aligned with your business goals.

In-depth Perplexity Comet browser review 2025 with real testing results. Learn about AI agent capabilities, pricing ($20/month Pro required), setup guide, performance benchmarks, and honest comparison with Chrome and Arc Dia. See actual examples of web automation and task completion.
Learn how to structure codebases for AI agents like Claude, Cursor, and GitHub Copilot. Step-by-step guide with CLAUDE.md templates, vertical slice architecture, and proven optimization techniques that improve AI code generation by 80%.

Deploy n8n on Railway in under 5 minutes with our step-by-step guide. Get a production-ready automation platform with HTTPS, webhooks, and Postgres database. Save $240+/year vs n8n Cloud.

Complete guide to deploying n8n Cloud: pricing breakdown (€24-€60/month), setup tutorial, workflow limits, and comparison with self-hosted alternatives.

Master ChatGPT Agent mode with step-by-step tutorials, real-world examples, and pricing details. Learn how to automate complex tasks like travel research, data extraction, and web navigation to save hours of manual work.

Transform your Gemini CLI from a local tool into a powerful development hub. Learn how to configure Model Context Protocol (MCP) to securely connect with GitHub, Figma, and other APIs using natural language commands in your terminal.

A deep-dive review of Dia, the new AI-integrated browser. Discover its game-changing features, current limitations, and if it's truly the future of Browse.

Compare the top budget coding LLMs of 2025: DeepSeek R1 leads with 71.4% Aider score at $8.55/month. Interactive cost calculator included to find your perfect AI coding assistant based on actual usage.

Learn how to implement Agent2Agent communication by building a DuckDuckGo web-search agent using Python and LangGraph.

Learn how to implement advanced vector database filtering in LlamaIndex to create more secure, relevant, and efficient semantic search systems. Discover best practices for metadata filtering that can transform how your AI applications retrieve information.

Discover how AI agents can transform your productivity by automating complex tasks, managing workflows, and scaling your capabilities. Learn practical strategies to leverage AI assistants and become a more efficient project manager in the age of artificial intelligence.

Join me on my journey exploring AI technologies as I share insights, discoveries, and practical applications of artificial intelligence in today's rapidly evolving landscape.