docs.dev vs InferCrane

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...

Connect, deploy, observe, optimize, release, and recover production inference across managed APIs, serverless GPUs, dedicated capacity, and your cloud behind one stable...

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 InferCrane

Connect, deploy, observe, optimize, release, and recover production inference across managed APIs, serverless GPUs, dedicated capacity, and your cloud behind one stable endpoint. InferCrane finds and proves a better way to run it. 01 Connect Adopt an existing endpoint or provider without moving traffic. 02 Deploy Turn an open model into a durable, autoscaled serving plan. Connect or deploy, observe the real workload, qualify a better candidate, release it safely, and recover without losing intent.