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Docs index

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docs/

  • architecture.md — A map of the codebase.
  • by-branch.md — The Spend view in CodeBurn Desktop has a By branch panel: pick a project and see where its AI spend went, per git branch, with the recorded worktrees and the individual sessions behind each branch.
  • cli.md — Every CodeBurn command and keyboard shortcut, plus the report-focused flags for filtering, JSON output, and diagnosing detection.
  • compare-cohorts.md — The classic Compare view answers "how do these two models differ across my whole history?" by aggregating everything each model ever did.
  • compare-periods.md — Compare two date ranges side by side and see exactly what drove the change in usage and cost.
  • configuration.md — Currency, model aliases, local/custom-priced/proxy models, and environment variables.
  • drill-through.md — CodeBurn Desktop can open any aggregate as a session list that explains exactly what composes it, without losing your place.
  • guard.md — Opt-in Claude Code hooks that watch session cost while you work: soft cap, hard cap, checkpoint nudge, session openers.
  • how-it-works.md — Pricing, task categories, breakdowns, one-shot rate, per-tool data locations and parsing, and how to read the dashboard.
  • mcp.md — codeburn mcp runs a local MCP server over stdio so an AI agent can ask about your usage and savings mid-conversation.
  • menubar.md — The macOS menu bar app, Windows tray app (with WSL discovery), and Linux GNOME Shell extension.
  • optimize.md — codeburn optimize scans your Claude Code sessions and your ~/.claude/ setup, reports what is costing tokens without earning them, and grades the setup A to F.
  • plans-and-quota.md — Subscription plan tracking and live provider quota via codeburn quota.
  • vscode.md — The VS Code extension: how it reuses the CLI client and the desktop renderer, which Node it runs on, workspace scope, and how to build and test it.
  • web.md — The local browser dashboard and combining usage across your paired devices.
  • yield.md — codeburn yield correlates AI sessions with git commits to show what actually shipped.

docs/design/

  • design/capacity-dock.md — Status: implementation specification (Epic: Quota Intelligence #725).
  • design/codeburn-desktop-plan.md — Goal: a standalone Electron desktop app that renders the approved v6 "indigo instrument" wireframes, fed entirely by spawning the codeburn CLI for JSON.
  • design/codeburn-desktop.md — Build CodeBurn Desktop, a standalone, resizable native desktop application (Electron) that renders the approved v6 "indigo instrument" wireframes.
  • design/codeburn-mcp-plan.md — Goal: add a codeburn mcp stdio MCP server exposing CodeBurn's usage/cost data to AI agents via two tools (get_usage, get_savings).
  • design/codeburn-mcp.md — CodeBurn already aggregates rich AI-coding usage/cost data (by task, model, project, provider; retry tax; routing waste; optimize findings; 365-day history).
  • design/desktop-data-lifecycle.md — Status: implementation contract for the quality/performance epic.
  • design/perf-cache-fix.md — codeburn status --format menubar-json was measured taking 25-90+ seconds per call, with no speedup on a repeat call against an unchanged, freshly-warmed cache.

docs/providers/

docs/release-acceptance/

docs/sync/

  • sync/README.md — Push your AI usage telemetry to a shared backend so teams can track adoption, budgets, and ROI across developers.
  • sync/DEVELOPER.md — Architecture, protocol, server contract, and testing for codeburn sync.