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Managing multiple Claude Code projects doesn't have to be chaotic. My iTerm2 setup dramatically reduces friction in my daily AI-assisted coding workflows - here's how.
Here's a pattern you've probably seen: const results = items.map(async (item) => { return await fetchItem(item); }); Looks fine, right? Your AI assistant wrote it. Tests pass. Code review approves it. Then production hits, and results is an array of Promises — not the values you expected. The await
As AI floods software development with code, Qodo is betting the real challenge is making sure it actually works.
Security vendors have spent years building up defenses around the endpoint, but one researcher says AI coding tools have brought the walls down.
Something is changing in how developers pick tools. Increasingly, the decision is not made by a human — it is made by an AI agent scanning GitHub. When a developer tells Claude Code or Codex "build me a SaaS app," the agent needs to decide: start from scratch, or use a starter kit? This is the new d
We've all been there. You fire up your AI coding agent, ask it to write a migration script, and it produces something that technically works but misses every convention your team actually uses. Then you ask it to review a PR and it gives you generic advice that ignores your project's architecture en
Running one AI coding agent is productive. Running five in parallel is chaos. I've been using Claude Code daily for months. It's great — until you realize there are four other tasks sitting idle while you wait for one agent to finish refactoring a module. So you open more terminal tabs, spin up more
AI coding tools are incredibly useful. They can read your codebase, understand context across dozens of files, and make changes in seconds. They can also read your .env file. Your secrets/ directory. Not because they're malicious — but because nothing stops them by default. I built uignore to fix th
We Built a Coding Mentor That Remembers Your Mistakes “Did it seriously just tell me I always mess up recursion?” We paused for a second and just stared at the screen. The model wasn’t just answering the question—it was pointing out a pattern we never explicitly told it about. That was the moment It
