Codex just hit 1M weekly active users, GPT-5.4 under the hood, Figma MCP integration. Claude Code has been my daily driver for months. I gave both the exact same tasks for a week and tracked speed, code quality, context handling, pricing, and GitHub integration. Neither won cleanly.
GitHub’s new Agentic Workflows let coding agents run inside Actions to triage issues, update docs, and propose fixes — automatically. I ran them on a production repo for a week. Some results were genuinely impressive. Others reminded me why ‘autonomous’ still needs human oversight.
Every AI coding tool stores MCP server config differently — Claude Code, Cursor, VS Code, Codex all use different files and formats. I wasted hours on manual setup before discovering add-mcp, a CLI that configures MCP servers across all your tools with a single command. Here’s why MCP fragmentation is the biggest DX problem in AI coding right now, and how the ecosystem is starting to fix it.
Skip the prompt engineering hype. Here are 7 concrete patterns that make AI coding tools significantly more useful.
AI-generated code has predictable failure modes. Here are the 8 most common mistakes I see and the workarounds I’ve developed.
An honest comparison of Cursor and Claude Code from someone who uses both daily. When to use which, and why you probably need both.
How I use AI to design, review, and document APIs — the patterns that save time and the ones that waste it.
Practical AI coding assistant tips from a Tech Lead who uses them daily. No fluff — just real workflows that work with Claude Code, Copilot Chat, Cursor, and similar tools.
I run local LLMs for some tasks and cloud APIs for others. Here’s my framework for deciding which to use when.
How to use AI as a genuine pair programming partner — workflow design, prompting strategies, and when to ditch the AI and think for yourself.