Thinking
Technical articles on AI, development tools, cloud architecture, and software engineering.
The MCP 2026 Roadmap: Server Cards, Enterprise Governance, and What It Means for Your AI Stack
The Model Context Protocol has gone from an internal Anthropic experiment to the standard way AI models talk to external tools. With over 6,400 servers in th...
From Vibe Coding to Agentic Engineering: The Next Evolution in AI-Powered Development
The way we build software is changing faster than ever. In early 2025, Andrej Karpathy coined the term "vibe coding" to describe a new workflow whe...
Claude Code CLI: How to Supercharge Your Development Workflow
The way developers write code is changing fast. Claude Code, Anthropic's command-line interface for Claude, brings AI directly into your terminal — where you…
Practical Guide: Building AI Agents with Claude Tool Use
A practical guide to building AI agents with Claude tool use: defining tools, the agent loop, parallel tool calls, streaming, error handling and security.
Claude vs GPT for Software Development: A Technical Comparison
Choosing the right AI model for software development is no longer a trivial decision.
Local AI vs Cloud AI: When to Run Models Locally and When to Use the Cloud
Local AI vs cloud AI compared on cost, quality, privacy and latency, when self-hosted models make sense, and why a hybrid setup is often the best choice.
The State of AI Agents in 2026: From Chatbots to Autonomous Developers
AI agents have evolved dramatically. What started as simple chatbots that could answer questions has grown into systems that write code, deploy applications…
Bob: The Open-Source AI Agent Platform Built for Real-World Applications
Building AI-powered applications today means navigating a maze of fragmented tools, proprietary lock-in, and infrastructure complexity.
AI Model vs. AI Agent: What "Agentic" Means and Why It Matters
AI model vs AI agent, explained: what a model is, what turns it into an agent, what "agentic AI" really means, and why the difference matters in practice.
From zero to live app in 24 hours: Practical guide to Vibe Coding with Cursor AI
You have an app idea. Maybe an internal dashboard, maybe a productivity tool, maybe an MVP you want to test with real customers.
What is MCP and how to turn LM Studio into a local AI assistant with superpowers
If you already run language models locally—whether for privacy or for full control over your data—you may have noticed a fundamental limitation: your local…
What is RAG and how to use rag-v1 in LM Studio to chat with your own documents
What RAG is and how to use it in LM Studio: the built-in rag-v1 plugin, rag-v2, embedding models and tips to chat with your own documents locally.
How to build your own AI automation server with n8n on AWS: local models, remote models, and a real business pipeline
Imagine this scenario: a client sends you an email with a quote request.