AI context
Give AI workflows structural context
Connect a task to the surrounding code so an agent can reason with relationships as well as retrieved text.
The problem
An agent can retrieve a relevant file and still miss a shared contract, a caller or a test that constrains the change. More text is not always better context.
A task is paired with relevant source, explicit constraints and tests into a reviewable context package before a person or agent reasons about a change. This is a conceptual example of useful context.
What Graphtia provides
Graphtia Explorer provides supported agent integrations that expose code relationships, API and database declarations, and indexed documents. Dependencies, paths and related tests help define focused context for an engineering question.
Keep context bounded and checkable
Start from the task and identify the relevant code. Include why each relationship matters, the source revision and any known limits of the result. Ask the agent to verify assumptions against source and tests before proposing a change.
Where it helps
Focused context is useful for an agent-assisted refactor, a review of a proposed change or an investigation that crosses multiple files. Explain the relevance of each source location before expanding the scope.
Relevant capabilities
Locate the interfaces involved in the task.
Connect callers, dependencies and relevant checks.
Keep assumptions and incomplete results visible during review.
Relevant product
Explorer addresses the code-understanding layer. Follow Documentation → Agent integrations to connect a supported client or configure Universal MCP. Workspace access requires your approval in Explorer; connecting an agent does not authorize code changes.