- Bump SQLite schema to v19 with ai_sessions lock columns and lock index, and align migration coverage in core DB tests
- Extend AiSessionStore with acquire/release/force lock APIs, stale lock cleanup, and lock metadata in ai_session update summaries
- Enforce lock checks on planning, subtask, and mission interview mutation routes with 409 conflict responses while keeping stream reads unaffected
- Add frontend tab identity + useSessionLock hook and wire Planning, Subtask, and Mission modals to pass tabId, show lock overlay, and support Take Control
- Expand dashboard route/e2e and modal tests to validate lock enforcement, lock handoff, and lock-aware session reentry behavior
- Keep errored AI sessions retryable in the session store and add backend retry handlers for planning, subtask breakdown, and mission interview flows
- Add retry API routes and dashboard API client helpers for planning, subtask, and mission interview session retries
- Update PlanningModeModal, SubtaskBreakdownModal, MissionInterviewModal, and background session handling to show error states with retry/cancel UX
- Expand unit and integration tests across store, services, routes, and modal components to cover retry success and failure paths
- Persist per-turn thinking output for planning and mission interview sessions, including history serialization and recovery-safe state fields
- Add shared conversation history parsing/API types and a reusable timeline component with formatted answers and expandable AI reasoning
- Restore and render conversation history across Planning Mode, Mission Interview, and Subtask Breakdown modals during resume and live question flow
- Harden response submission with nullable-question guards and expand unit/e2e coverage for history rendering and persistence behavior
- Add recoverable-session querying in AiSessionStore and cover it with targeted store tests
- Persist resume context (ip, initial plan, mission metadata) and rebuild planning/subtask/mission sessions from SQLite rows
- Rehydrate recoverable sessions at server startup and resume planning/mission interviews by recreating agents with replayed conversation context
- Update API flows to pass project root context and clean in-memory sessions when persisted sessions are deleted, with comprehensive regression tests
- Add aiSessionTtlMs and aiSessionCleanupIntervalMs project settings with defaults and bounds for cleanup scheduling
- Extend AiSessionStore cleanup to expire stale in-progress sessions, emit deletion events, and support start/stop scheduled cleanup loops
- Wire server startup/shutdown to load cleanup settings and manage the scheduled ai_sessions sweep lifecycle
- Align planning, subtask breakdown, and mission interview in-memory session retention to a 7-day TTL with shared deletion-driven cleanup
- Update schema/tests/docs for migration v15 ai_sessions indexing and end-to-end cleanup/TTL behavior stability
- Add a shared SSE event buffer utility and wire it into planning, subtask, mission interview, and task stream routes
- Support Last-Event-ID replay semantics and robust event serialization so clients can recover missed stream events
- Add a resilient client-side reconnect wrapper and surface reconnecting state in planning, subtask breakdown, and mission interview modals
- Expand test coverage across API routes, SSE buffering behavior, reconnect handling, and mission/planning stream flows
- Add planning model selection UI to PlanningModeModal initial view with model loading, favorites wiring, and default/custom badge state
- Extend startPlanningStreaming client API to send optional planningModelProvider/planningModelId overrides
- Propagate planning model overrides through /planning/start-streaming and createSessionWithAgent so agent creation uses selected model settings
- Add frontend and backend tests covering modal selection behavior, request forwarding, and end-to-end planning model flow
- Add a shared interview Q&A formatter for planning history across question types
- Append formatted interview context to generated subtask descriptions when history exists
- Include the same interview context in multi-task planning log entries for created tasks
- Expand planning tests to cover formatter behavior and subtask description context handling
- Remove hardcoded/planned stub responses from planning createSession and related functions
- Wire AI agent into planning session for interactive Q&A-based task planning
- Update JSDoc to remove stub references and reflect actual implementation
- Add comprehensive tests for AI-powered planning (planning.test.ts, routes.test.ts)
- Add mock agent setup to routes test for planning endpoint coverage
- Add generateSubtasksFromPlanning function to generate subtasks from planning session key deliverables
- Add POST /planning/start-breakdown and POST /planning/create-tasks API routes
- Add startPlanningBreakdown and createTasksFromPlanning frontend API functions
- Extend PlanningModeModal with Break into Tasks UI and subtask editing (drag-and-drop, dependency validation)
- Add comprehensive tests for generateSubtasksFromPlanning with edge cases
- Document planning mode multi-task creation feature in AGENTS.md
- Rename @kb/core, @kb/dashboard, @kb/engine to @fusion/* namespace
- Update all import statements across 143+ files to use new package names
- Update workspace dependencies and root package.json references
- Fix bundler configurations (tsup, vite) for new package names
- Update test files and fix typecheck issues
- Add changeset file documenting the package rename
- Add PlanningModeModal component with interactive task planning UI
- Implement backend planning API with /api/planning endpoints
- Add PlanningSession class for managing planning state
- Integrate planning mode into dashboard with header button
- Add comprehensive tests for planning components and API routes
- Include AI agent structure for future planning automation
- Update README with Planning Mode documentation
