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AI Backend Studio

What This Is

AI Backend Studio is a local-first desktop workspace for running and managing local LLM runtimes, selecting models, and chatting against the active runtime from a Tauri app. This roadmap focuses on the existing runtime workspace experience: making runtime control and configuration easier to understand, safer to edit, and more reliable for operators using the desktop app.

Core Value

A user can configure and operate the runtime from one trustworthy workspace without the UI fighting their in-progress edits.

Requirements

Validated

  • ✓ Local runtime can be started, stopped, and health-checked from the desktop app - existing
  • ✓ Runtime configuration can be edited from the desktop app and persisted through the Tauri backend - existing
  • ✓ Users can browse model sources and select models for the runtime - existing
  • ✓ Users can chat against the active runtime with locally persisted chat history - existing

Active

  • Runtime Workspace presents one clear control center for runtime status, actions, and settings
  • Runtime status summary and Runtime Settings are reorganized to reduce duplication and operator confusion
  • Runtime settings fields such as Managed library and Models folder do not get overwritten by polling or background refresh while the user is editing
  • Runtime settings preserve explicit user choices until save/cancel and separate live snapshot state from draft form state

Out of Scope

  • Backend inference engine changes - this initiative targets runtime workspace UX and frontend state flow, not model execution internals
  • Chat feature redesign outside runtime-related touchpoints - chat already works and is not the primary problem being scoped here
  • New cloud orchestration or multi-user control plane - current focus is the existing local-first desktop surface

Context

  • Existing codebase is brownfield with a Rust workspace, Tauri desktop backend, and React/TypeScript frontend already mapped in .planning/codebase/ARCHITECTURE.md and .planning/codebase/STACK.md
  • Runtime management currently spans RuntimeStatusCard and RuntimeSettingsDrawer, creating a split-brain control experience
  • The current frontend runtime flow polls live runtime state and rehydrates the settings form, which can overwrite in-progress edits or folder selections before save
  • The existing architecture already supports runtime lifecycle operations, model discovery, persisted runtime config, and local chat history, so this roadmap should build on those capabilities rather than replace them

Constraints

  • Tech stack: Keep the existing Rust + Tauri + React/TypeScript architecture - the project is improving the current app, not rewriting it
  • Brownfield compatibility: Preserve working runtime lifecycle, model selection, and chat flows while reorganizing the UI - regressions in validated capabilities are not acceptable
  • UX reliability: Unsaved user edits must not be overwritten by polling or snapshot refresh - trust in the settings surface is the main product constraint
  • Local-first: Continue supporting local desktop runtime management patterns already established in the app - scope should not depend on external hosted infrastructure

Key Decisions

Decision Rationale Outcome
Treat this as a brownfield runtime workspace improvement project The repo already contains a working desktop runtime manager, model configuration flow, and chat surface - Pending
Center the roadmap on runtime workspace clarity and edit safety The primary user pain is split control surfaces plus auto-overwritten form state - Pending
Keep runtime operations and runtime configuration in one coherent experience Current duplication between external status card and settings drawer is a major source of confusion - Pending

Evolution

This document evolves at phase transitions and milestone boundaries.

After each phase transition (via /gsd-transition):

  1. Requirements invalidated? -> Move to Out of Scope with reason
  2. Requirements validated? -> Move to Validated with phase reference
  3. New requirements emerged? -> Add to Active
  4. Decisions to log? -> Add to Key Decisions
  5. "What This Is" still accurate? -> Update if drifted

After each milestone (via /gsd-complete-milestone):

  1. Full review of all sections
  2. Core Value check - still the right priority?
  3. Audit Out of Scope - reasons still valid?
  4. Update Context with current state

Last updated: 2026-03-28 after initialization