Solve hard problems in complex codebases using AI Agents (www.humanlayer.dev)

CodeLayer is an open-source IDE and orchestration layer that lets teams run purpose-built AI coding agents to tackle hard problems in large, complex codebases. Built on Claude Code, it ships with "battle-tested" keyboard-first workflows, parallel session management, worktree-aware coordination, and support for remote cloud workers — all designed to scale from a single laptop to an entire engineering org. The project bundles practical practices such as Advanced Context Engineering (a term the project’s repo popularized in April 2025) and a "12 Factor Agents" manifesto for building reliable, scalable LLM applications, and was the subject of a YC talk on August 20, 2025. For AI/ML teams this matters because it moves beyond ad-hoc prompting toward reproducible, team-grade agent orchestration: parallel Claude Code sessions and explicit context engineering reduce token waste and improve throughput (the team reports ~50% gains in productivity and token consumption). As an open-source tool, CodeLayer enables inspection and extension while still depending on Claude Code as the model backend — a tradeoff between capability and vendor reliance. The ecosystem also includes paid HumanLayer services for tailored workflows and hands-on engineering support to help organizations adopt AI-first development practices without descending into chaotic, unreviewable automation.