docs.dev vs Philosophy & Vision

Point your coding agent at your repo and your docs; it opens a docs branch, your team reviews on the rendered page, publishing is a commit. Runs on your Cloudflare, no...

The core philosophy and design vision behind Autolang, a capability-based execution runtime for AI agents.

About docs.dev

Point your coding agent at your repo and your docs; it opens a docs branch, your team reviews on the rendered page, publishing is a commit. Runs on your Cloudflare, no platform fee, no metered AI. Reviews, branches, and rollbacks come free, because it is just git. Your content in their database, and an export button you hope works when you leave. Writing AI is the agent you already have; reader-facing AI runs on your Workers AI.

About Philosophy & Vision

The core philosophy and design vision behind Autolang, a capability-based execution runtime for AI agents. LLMs are no longer just answering questions, they are executing business workflows, querying enterprise data, and acting on internal systems. The moment an AI starts executing code instead of generating text, its execution environment becomes part of your security model, whether you designed it to be or not. A common approach is to execute AI-generated code inside a general-purpose runtime (such as Python or Node.js), often isolated using Docker, microVMs, or language-level sandboxes.