[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-73467":3},{"id":4,"name":5,"fullName":6,"owner":5,"repo":5,"description":7,"homepage":8,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":19,"compositeScore":20,"rankGlobal":9,"rankLanguage":9,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":24,"hasPages":22,"topics":25,"createdAt":9,"pushedAt":9,"updatedAt":35,"readmeContent":36,"aiSummary":37,"trendingCount":15,"starSnapshotCount":15,"syncStatus":38,"lastSyncTime":39,"discoverSource":40},73467,"humanlayer","humanlayer\u002Fhumanlayer","The best way to get AI coding agents to solve hard problems in complex codebases.","https:\u002F\u002Fhumanlayer.dev\u002Fcode",null,"TypeScript",10973,926,74,33,0,12,43,215,36,43.9,"Other",false,"main",true,[26,27,28,29,30,31,5,32,33,34],"agents","ai","amp","claude-code","codex","human-in-the-loop","llm","llms","opencode","2026-06-12 02:03:13","\u003Cdiv align=\"center\">\n\n![Wordmark Logo of HumanLayer](.\u002Fdocs\u002Fimages\u002Fwordmark-light.svg)\n\n\u003C\u002Fdiv>\n\n\u003Cdiv align=\"center\">\n\n## The best way to get Coding Agents to solve hard problems in complex codebases\n\n**CodeLayer is an open source IDE that lets you orchestrate AI coding agents.**\n\nIt comes with battle-tested workflows that enable AI to solve hard problems in large, complex codebases.\n\nBuilt on Claude Code. Open source. Scale from your laptop to your entire team.\n\n[![GitHub Repo stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhumanlayer\u002Fhumanlayer)](https:\u002F\u002Fgithub.com\u002Fhumanlayer\u002Fhumanlayer)\n[![License: Apache-2](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-Apache-green.svg)](https:\u002F\u002Fopensource.org\u002Flicenses\u002FApache-2)\n\n\u003Ch3>\n\n[Join Waitlist](https:\u002F\u002Fhumanlayer.dev\u002Fcode) | [Discord](https:\u002F\u002Fhumanlayer.dev\u002Fdiscord)\n\n\u003C\u002Fh3>\n\n\u003Cimg referrerpolicy=\"no-referrer-when-downgrade\" src=\"https:\u002F\u002Fstatic.scarf.sh\u002Fa.png?x-pxid=fcfc0926-d841-47fb-b8a6-6aba3a6c3228\" \u002F>\n\n\u003C\u002Fdiv>\n\n---\n\n> \"Our entire company is using CodeLayer now. We're shipping one banger PR after the other. It is so f-ing good. Unbelievable dude.\"\n>\n> **– René Brandel, Founder @ Casco (YC X25)**\n\n---\n\n- **Superhuman for Claude Code** - Keyboard-first workflows designed for builders who value speed and control.\n\n- **Advanced Context Engineering** - Scale AI-first dev to your entire team, without devolving into a chaotic slop-fest.\n\n- **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.\n\n---\n\n> \"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.\"\n>\n> **– Tyler Brown, Founder @ Revlo.ai**\n\n---\n\n## From the team that brought you \"Context Engineering\"\n\nLeading experts on getting the most out of today's models.\n\n#### [Advanced Context Engineering for Coding Agents](https:\u002F\u002Fgithub.com\u002Fhumanlayer\u002Fhumanlayer)\nThis talk, given at YC on August 20th, 2025 lays out the groundwork for using AI to solve hard problems in complex codebases.\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fhumanlayer\u002Fhumanlayer)\n- [YouTube](https:\u002F\u002Fhumanlayer.dev\u002Fyoutube)\n\n#### [12 Factor Agents](https:\u002F\u002Fgithub.com\u002Fhumanlayer\u002Fhumanlayer)\nA set of principles for building reliable and scalable LLM applications, inspired by the original 12-Factor App methodology.\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fhumanlayer\u002Fhumanlayer)\n- [YouTube](https:\u002F\u002Fhumanlayer.dev\u002Fyoutube)\n\nThe original repo that coined the term \"context engineering\" back in April 2025.\n\n#### [🦄 AI That Works](https:\u002F\u002Fhumanlayer.dev\u002Fpodcast)\nA weekly conversation about how we can all get the most juice out of todays models with @hellovai & @dexhorthy\n- [GitHub](https:\u002F\u002Fgithub.com\u002Fhumanlayer\u002Fhumanlayer)\n- [Podcast](https:\u002F\u002Fhumanlayer.dev\u002Fpodcast)\n\n---\n\n## For Teams\n\n**Invest in outcomes, not tools.**\n\nWant to scale AI-first development to your entire org? Get tailored workflows, custom integrations, and cutting-edge advice.\n\nHumanLayer's expert engineers will ship in the trenches with you and your team until everyone is a 100x engineer.\n\n📧 Shoot us an email at **contact@humanlayer.dev**, mention your team size and current AI development stack.\n\n---\n\n## Quick Start\n\n```bash\n# Coming soon - join the waitlist for early access\nnpx humanlayer join-waitlist --email ...\n```\n\n---\n\n## Legacy Documentation\n\nLooking for the HumanLayer SDK documentation? See [humanlayer.md](.\u002Fhumanlayer.md)\n\n## Contributing\n\nCodeLayer and the HumanLayer SDK are open-source and we welcome contributions in the form of issues, documentation, pull requests, and more. See [CONTRIBUTING.md](.\u002FCONTRIBUTING.md) for more details.\n\n## License\n\nThe HumanLayer SDK and CodeLayer sources in this repo are licensed under the Apache 2 License.\n\n---\n\n\u003Cdiv align=\"center\">\n\n[![Star History Chart](https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=humanlayer\u002Fhumanlayer&type=Date)](https:\u002F\u002Fstar-history.com\u002F#humanlayer\u002Fhumanlayer&Date)\n\n\u003C\u002Fdiv>\n","CodeLayer 是一个开源的集成开发环境，旨在通过协调AI编码代理来解决复杂代码库中的难题。它提供了经过实践验证的工作流，使AI能够处理大型复杂代码库中的困难问题，并支持Claude Code。该项目使用TypeScript编写，具有高级上下文工程能力，可以将AI优先的开发扩展到整个团队，同时保持清晰有序。此外，它还支持并行运行多个Claude Code会话，适用于远程云工作场景。适合希望提高软件开发效率和质量的技术团队采用。",2,"2026-06-11 03:45:41","high_star"]