AI-assisted development, code assistants, and intelligent developer tools
About This Category
Learn how to leverage AI-powered coding tools to boost your productivity as a developer. This category covers MCP (Model Context Protocol) setup, Claude command usage, platform comparisons, and other AI coding assistant topics.
Posts
MCP (Model Context Protocol) Series
This series covers everything you need to know about setting up and using MCP servers with Claude and other AI coding assistants.
The Complete MCP Server Setup Guide: Claude Desktop, Claude Code, and Cursor
Published: October 2025 | Difficulty: Intermediate
A comprehensive guide to setting up Model Context Protocol (MCP) servers across different Claude environments. Learn step-by-step configuration for Claude Desktop, Claude Code, and Cursor, with troubleshooting tips and best practices.
Topics: MCP Setup, Claude Desktop, Claude Code, Cursor, Configuration
Reading Time: ~20 minutes
The Claude Command Reference Card
Published: October 2025 | Difficulty: Beginner
Quick reference guide for Claude commands, shortcuts, and best practices. Essential for anyone using Claude Desktop, Claude Code, or Cursor to maximize productivity.
Topics: Commands, Shortcuts, Prompt Patterns, Workflows
Reading Time: ~10 minutes
MCP Setup Comparison Tables
Published: October 2025 | Difficulty: Intermediate
Side-by-side comparison of MCP server setup across Claude Desktop, Claude Code, and Cursor. Features detailed comparison tables, decision matrices, and migration guides.
Topics: Platform Comparison, Feature Matrix, Migration, Use Cases
Reading Time: ~15 minutes
Topics Covered in This Category
- MCP (Model Context Protocol) - Setup, configuration, and best practices
- Claude Environments - Desktop, Code extension, and Cursor integration
- AI Pair Programming - Using AI as a coding partner
- Command Reference - Quick lookup for commands and shortcuts
- Platform Comparison - Choosing the right tool for your workflow
External Resources
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Verification Recommended: Users are strongly encouraged to verify information, test tools and code, and refer to official documentation before using any resources in production environments or critical applications.
Rapidly Evolving Field: AI, ML, and DL are rapidly evolving fields. Tools, best practices, and technologies mentioned here may become outdated. Always check for the latest versions and updates from official sources.
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Top comments (2)
The pace at which AI coding tools are evolving is insane. It feels like every few weeks there’s a new feature or framework that changes how we write or debug code. I think the biggest win will be when these tools start understanding project context deeply enough to make reliable architectural suggestions, not just line-by-line edits.
Totally agree
And we are not far from it
I have been playing with CLAUDE.md and memory and we can get closer to this with some tweaks. Including setting up post-hooks.
I will share some more of such gotaches and tips in the next edition of the post