Cody's whole-codebase context being what makes it enterprise rather than individual developer tooling

Being considered overkill for individual coders working on smaller apps is the honest limitation that defines the evaluation audience accurately. A developer working on a personal project or a small team application gets most of the value they need from GitHub Copilot or Cursor. The whole-codebase indexing that Cody provides is a solution to a problem that does not exist at small scale.

The contextual code completion that understands the entire project architecture rather than only the current file is the quality that changes as the codebase grows. At small scale, file-level context is sufficient. At enterprise scale, file-level context produces suggestions that are locally correct but architecturally inconsistent.

The multi-repository support being a core rather than an add-on feature is the enterprise architecture alignment that reflects how large organisations actually structure their codebases. A microservices architecture with fifteen repositories is not well served by single-repository context.

For CTO-level evaluators: at what team size and codebase complexity does the value of whole-codebase context justify the additional investment over file-scoped AI coding tools?