A repo-aware context and boundary layer for developers running multiple AI coding agents on medium-to-large projects
Developers juggling several AI coding tools (Codex, Trae, WorkBuddy, ChatGPT) on medium and large codebases spend most of their time re-feeding project context, hand-reviewing output before the next step, and switching between model UIs. They want the agents to already know what each module does and to stop touching code outside an assigned boundary. A tool that maintains per-directory context files and enforces edit scopes would remove that manual overhead.
The problem
When directing AI to build or modify a finance automation tool or a larger codebase, the developer has to talk to one model for planning, then step through the implementation with another model, manually reviewing every chunk before continuing. The agents repeatedly re-scan the repo to figure out what a module does, and they wander outside the intended area and break unrelated code. The user burns multiple paid subscriptions' quota a day just to keep context alive, and still has to babysit each step.
What could be built
A CLI/IDE companion that scans a repo and auto-generates and continuously updates a short context file per directory (purpose, key entry points, do-not-touch zones), plus a scope guard that blocks or flags agent edits outside the task's declared boundary and writes a checkpoint summary the next agent can consume. It sits in front of whichever coding agent the developer uses, so plans and handoffs transfer between models without re-explaining the project.
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