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Developer Tools & APIs

Hosting, deployment and APIs you call from your own code make up much of this category, which is for people who build software. It also holds monitoring that warns you when a background job stops without an error, and a growing set of tools around AI coding assistants: shared workspaces, security checks and limits on what an agent may run.

Start by checking how a tool fits your stack, meaning the languages and frameworks it supports. Then see whether it offers an API, a command-line tool or an MCP server for your AI assistant. Many developer tools charge by usage, for example per request, minute or token, so estimate your volume before you build on one. Last, look at where your code and data run, and whether you could leave without rewriting everything.