When we talk to teams about what knowledge sources they want Inkeep to index, the list almost always starts the same way: the docs site, maybe a Confluence space, maybe closed support tickets. The GitHub repository comes up late in the conversation, if it comes up at all. Most teams treat their codebase as implementation, not as documentation. That assumption is worth questioning.
Your repository contains a category of knowledge that your official documentation often does not have: the specific, tested, working version of how to do something. READMEs, inline comments, and example files are written by the people who built the feature, at the time they built it, for the purpose of explaining how it works. That is a different epistemic provenance than documentation written afterward by a technical writer from a product spec.
What Lives in a Repository That Docs Do Not Cover
Three specific content types in a typical repository answer questions that docs leave partially answered or miss entirely.
README files. Not just the root README, but the per-directory READMEs that explain what a module or service does, how to run it locally, and what edge cases to watch for. Teams that build in a monorepo often have dozens of these. They get written when the code gets written and updated when behavior changes. The developer who hit a specific integration issue often wrote a note about it in the closest README.
Inline comments on non-obvious logic. When an engineer writes a comment that starts with "This is intentional because..." or "Do not change this without reading...", they are answering a question that future developers will ask. Those comments are invisible to your docs site, your ticketing system, and your support agent unless you index the codebase directly.
Example files and integration tests. A well-maintained repository has example scripts that show how to use the SDK in realistic scenarios. These often answer "how do I set up X" more precisely than the official documentation, because the examples were built to actually run. A developer who finds a working example in the repository often has what they need without needing a human response.
How We Index Repositories
Indexing a codebase for a support agent is different from indexing prose documentation. Code has syntax, it has context-dependency (a function signature means little without knowing what types are imported), and most of a codebase is implementation detail that is not relevant to answering developer questions.
The approach we built for Inkeep focuses on the subset of repository content that is explicitly explanatory: README files at all directory levels, files in an examples or samples directory, inline comments that appear in public-facing API code (not internal helpers), and configuration files with commented keys. We do not try to index the full implementation logic, which would produce noise rather than signal.
For a mid-size developer tools company with a public GitHub repository, that indexable subset is usually 15-30% of total file count but 60-80% of the content that actually helps answer developer questions. The rest is implementation, test fixtures, and build configuration that is not part of the support surface.
A Case Where Codebase Indexing Made the Difference
One of our early-access teams shipped a new authentication flow that was not yet reflected in their official documentation. The docs were in draft and had not gone through review yet. The support channel started getting questions about the new auth method within a few days of the release.
The repository had a working example in the examples directory and a detailed inline comment on the auth handler explaining the expected token format and expiration behavior. By indexing the repository, Inkeep was able to answer about 70% of those auth questions from the codebase content before the docs were updated. Without the repository as a knowledge source, those questions would have sat unanswered or required manual responses from the engineering team during a period when they were focused on stabilizing the release.
That is not an unusual situation. There is almost always a gap between when something ships and when the documentation catches up. The codebase is often the only current source of truth during that gap.
Access Control and Private Repositories
Teams with private repositories reasonably ask about access control when we discuss indexing their codebase. The concern is that Inkeep will surface internal implementation details, security-sensitive logic, or private business logic in responses to external developer questions.
This is a real concern that requires explicit configuration. We allow teams to specify which directories and file patterns are in scope for indexing and which are excluded. Internal tooling, infrastructure configuration, and anything under a directory named private, internal, or confidential is excluded by default. Teams can adjust the scope based on their repository structure.
The broader principle is that you control exactly what the agent can draw from. The repository is an opt-in source, not a default one. We made that choice deliberately because the trust relationship with the developer asking questions depends on the team having intentional control over what the agent knows.
Combining Repository and Docs for Better Coverage
Repository indexing is not a replacement for documentation indexing. It is a complement. The official docs give the agent authoritative, structured, reviewed explanations of how the product works. The repository gives the agent current, specific, worked examples and the reasoning behind non-obvious decisions.
The most useful setup we have seen combines both, with the documentation ranked higher when both sources address the same question. If the docs say how to do something and the codebase shows a working example, the combined answer is more complete than either alone. The agent can provide the conceptual explanation from the docs and point to the example in the repository in the same response.
We are not claiming this solves every support problem. It does not. Questions that require account-specific investigation, debugging a specific deployment environment, or interpreting error messages that depend on runtime state are still escalation cases. But the category of questions that can be answered from static knowledge sources is larger than most teams realize, and the codebase is a significant chunk of that category that is being left out.