Self-hosting AI agents or paying for hosting: the honest math
What a coding agent with editor, git and terminal really needs: RAM, sandbox, resource limits, keys. And when hosting beats your own VPS.
Read the post →Measured failures, real causes, concrete numbers: what happens when you build an AI workspace that redacts keys before a model sees them.
What a coding agent with editor, git and terminal really needs: RAM, sandbox, resource limits, keys. And when hosting beats your own VPS.
Read the post →What coding agents send to the model provider, and how to narrow it down.
What the term means, who builds what, and what to choose by.
LibreChat, AnythingLLM, LobeChat, Jan, Msty, Onyx and UltraNOS compared on MCP, agents, editor/terminal, hosting location and effort. As of 2026-09.
When the subscription or its limits don't fit: terminal agents, web interfaces and IDE extensions that work with your own API key, compared side by side.
Why developers leave Cursor and what comes next: VS Code extensions, Zed, open-source agents, terminal agents and web IDEs, compared.
Cursor, Windsurf, Kiro, Antigravity, Trae, Zed, Claude Code, Codex, Replit, Bolt, Lovable and UltraNOS — sorted by runtime, agents, model choice and hosting.
What separates an agentic web IDE from Cursor & Co.: agents, editor, git and terminal in the browser, no install. Eight criteria, honest limits, who it's for.
Hosting, data protection and the maths behind running it yourself.