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10 AI Developer Tools You Should Try Before Everyone Else Does
Every few months, a new AI tool quietly changes how developers work.
Someone shares a GitHub repository. A developer posts a demo on X. A small engineering team starts using it to solve a problem that used to take hours.
Then, a few months later, everyone is talking about it.
But here’s what I find interesting.
Most developers are still using AI to generate functions, write tests, and explain code. Meanwhile, a new category of tools is emerging that can investigate running applications, coordinate coding agents, analyze production incidents, and evaluate whether an AI agent is actually doing its job.
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The real opportunity isn’t just generating code faster. It’s removing entire categories of engineering work.
I’ve selected 10 tools and projects worth exploring, with practical examples you can adapt to your own projects.
Let’s get into it.
1. Google Antigravity 2.0: What If You Could Delegate Engineering Tasks to Multiple Agents?
Imagine you’re working on a React application with a Node.js backend.
