Developer solves AI agent portability by scoping policy, tools, and repo files separately

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A developer working across multiple projects — including a Codenames AI, a portfolio site, and a resume generator — found that copying agent setups between repositories led to duplicated assumptions and configuration drift. An initial plan to extract shared agent behavior into a remote MCP-style service was ultimately abandoned, as the overhead of a service boundary made little sense for what was essentially operating methodology rather than external tooling. Instead, the solution involved separating concerns into four distinct scopes: always-on policy, shared external tools, reusable installable procedures, and repo-specific files. This architecture ensures that planning standards and workflow rules travel with the developer at the user level, while only stable mechanics and product knowledge are written into individual repositories. The approach means policy updates propagate across all existing repos automatically, while bootstrap changes set a clean baseline only for new projects.

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