Your coding agent shouldn’t write AI workflow plumbing. It should write the workflow.

说明与用途

开发者可以用自然语言描述工作流，Loom 生成可读脚本并编译为代理图，消除 plumbing 代码，简化安全检查和审批流程。

问题

Developers struggle to build and review AI workflow graphs, spending time translating high‑level descriptions into plumbing code and answering framework‑specific questions.

结果

Developers can define workflows in plain English, generate a concise Loom script, and rely on Loom to compile and run the graph, reducing plumbing code, improving safety, and streamlining approvals.

工作流

• 1. Describe the problem in English to the coding agent. 2. Agent writes a Loom workflow script. 3. VS Code extension validates syntax and visualises the agent graph. 4. Loom compiles the script into executable agents. 5. Agents execute the workflow, performing diagnostics, research, script authoring, safety checks, and human approvals.
• 6. If approved, the script is saved and optionally run.
• 7. Results are reported back to the user.

证据

What if the coding agent didn’t write the implementation at all? What if it wrote the workflow itself, in a language you can read in a minute and see as a graph, and the framework turned that into a running system?

来源

The VS Code extension validates it as you type and draws the network of agents beside the editor

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budget { tokens: 400000 calls: 60 }

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tool Inspect { use: shell allow: "df, free, uptime, ..." }

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guard { pii: mask }

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