Most AI coding tools learn your codebase.
**What if your IDE learned YOU? 🧠**
Your engineering taste.
Your architectural instincts.
Your standards for clean code.
The abstractions you love — and the ones you always delete.
Imagine an agentic IDE that gets better every time you use it.
Not just by remembering your instructions, but by learning from every code review, every correction, every decision to keep or reject a solution.
Over time, less prompting.
Fewer repetitive corrections.
Code that feels less like generic AI and more like *the way you build software.*
That’s the exciting idea behind **ThinkRail**.
Because the next leap in AI coding isn't just smarter models or more agents working in parallel.
**It's AI that understands how YOU think about engineering.**
The real moat? Not generating code. Accumulating engineering taste.
👇 Here's the question for developers:
**If your AI coding agent could learn ONE thing about you over the next 100 coding sessions, what would you want it to learn?**
đź”— https://thinkrail.ai
thinkrail.aiThinkRail — the agentic IDE that gets better every time you use itGit-worktree workspaces, a real editor, terminals, concurrent agent chats, and a spec graph the agent reads. Open source, Apache-2.0.
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