HumanLayer CodeLayer is an open-source IDE that orchestrates AI coding agents with superhuman keyboard-first workflows designed for builders who value speed and control. Built on Claude Code, it features advanced context engineering that enables teams to scale AI-first development without chaos, and MultiClaude support for running parallel sessions with worktrees and remote cloud workers.
From the team that coined the term context engineering and created the 12-Factor Agents principles, CodeLayer comes with battle-tested workflows enabling AI to solve hard problems in large, complex codebases. It scales from your laptop to your entire team, with expert engineers providing custom integrations and cutting-edge advice for organizations investing in AI-first development outcomes.
Use Cases:
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CodeLayer is an open source IDE that lets you orchestrate AI coding agents.
It comes with battle-tested workflows that enable AI to solve hard problems in large, complex codebases.
Built on Claude Code. Open source. Scale from your laptop to your entire team.
GitHub Repo stars (https://img.shields.io/github/stars/humanlayer/humanlayer) License: Apache-2 (https://img.shields.io/badge/License-Apache-green.svg)
Join Waitlist (https://humanlayer.dev/code) | Discord (https://humanlayer.dev/discord)
"Our entire company is using CodeLayer now. We're shipping one banger PR after the other. It is so f-ing good. Unbelievable dude."
– René Brandel, Founder @ Casco (YC X25)
Superhuman for Claude Code - Keyboard-first workflows designed for builders who value speed and control.
Advanced Context Engineering - Scale AI-first dev to your entire team, without devolving into a chaotic slop-fest.
M U L T I C L A U D E - Run Claude Code sessions in parallel. Worktrees? Done. Remote cloud workers? You got it.
"This has improved my productivity (and token consumption) by at least 50%. Taking a superhuman style approach just makes soo much sense. Also, its so freaking cool to look back at all the work you've done in a day."
– Tyler Brown, Founder @ Revlo.ai
Leading experts on getting the most out of today's models.
This talk, given at YC on August 20th, 2025 lays out the groundwork for using AI to solve hard problems in complex codebases.
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