LayerX researchers found 30+ malicious Chrome extensions impersonating AI assistants, targeting 260,000+ users. One was installed on a developer’s machine on my team. Here’s what happened, what they were stealing, and the 10-minute audit you should run today.
Figma just launched Code to Canvas with Anthropic — it converts AI-generated code into editable Figma designs. I tested it on three real projects with my team. The design-dev handoff improved, but there are real cracks beneath the polish.
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.
AI isn’t just for writing code. Here’s how I use it for 1:1s, planning, documentation, and the other 60% of a tech lead’s job.
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.
A practical guide to using AI for code review — what actually works, what doesn’t, and where human judgment still matters.
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.