Agile AI Development Lifecycle vs docs.dev

A framework and methodology for transforming pre-AI software development lifecycle into AI-native development at scale.

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...

About Agile AI Development Lifecycle

A framework and methodology for transforming pre-AI software development lifecycle into AI-native development at scale. At first it looks like an easy-to-adopt (just drop markdown files into your repository) framework that should take one from pre-AI software development lifecycle to the AI-native future. In its nature it is very similar to compound engineering. - all of them are a collection of skills in markdown prose that rely on human-in-the-loop review. Notably both of them were introduced to the public a few months before AWS released AI-DLC, but it's hard to compete with AWS in terms of visibility.

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.