
What using Fuzit actually looks like. Concrete examples of how Fuzit engineers repository evidence into deterministic context for local tasks, GitHub PRs, and AI coding tools.
Why it is useful:Eliminates the need to paste whole repositories or manually hunt for scattered files. Fuzit builds the exact subset needed for the task.
SessionContext and refresh eventsA deterministic, bounded context file ready for injection into any LLM.
Why it is useful:An AI agent looking only at a diff lacks the broader repository intent and team discussion. This workflow acquires both in one command.
The context isn’t all in the code. Review the work, not just the diff.
Why it is useful:Transitions seamlessly from 'bug report' to 'implementation context' without manual discovery.
A bounded context model specifically tuned to solve the problem described in the issue, gathering the files the issue references and their graph dependencies.
Real command executions, flags, JSON outputs, pack generators, and task explainability commands evaluated against live codebases.
fuzit doctorVerifies local Node.js runtime, platform APIs, Git binary, filesystem permissions, and local index readiness.
fuzit --json scanExtracts structured repository statistics, discovered file paths, and metadata in JSON format.
fuzit packConsolidates filtered code into structured Markdown or JSON payloads with format flags.
fuzit context --explainGenerates task-specific context under strict token budgets with transparent inclusion receipts.