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AI coding agents are powerful and a little reckless. These are the ideas that turn “let an agent loose on my repo” from terrifying into routine — and how SageForge puts them to work.
A git worktree is a separate working copy on its own branch. Give each agent one and it can't touch your main checkout or another agent's files.
Declare which files a task may change (allowed/blocked globs). SageForge re-scans the diff and blocks anything out of bounds — including sneaky renames.
Approval isn't a button you click — it's a set of conditions: clean scope, checked acceptance criteria, and passing build/test/lint runs, all verified server-side.
Queue several scoped tasks, run agents sequentially or in bounded parallel, and triage the results in a morning summary instead of babysitting.
Everything runs on your machine — no cloud, no telemetry. SageForge never auto-commits, pushes, or merges; those irreversible actions stay with you.
SageForge orchestrates Claude Code, Codex, and pi in the terminals you already use. It coordinates and reviews; the agents do the writing.