Spatial
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WelcomeQuickstartLayout modesPrompting guidelinesContext basicsFAQ

Core Concepts

Auto-compactionSubagentsMemoriesModels and capabilitiesToken costsSession hygiene

Workflows

Stash and pop promptsAttachments and contextBrowser preview workflowReview and request changesWidgets sidebarWorking with integrationsTroubleshooting

Desktop App

Settings and preferencesVoice inputMax modeCodebase indexingPopout chatPlatform supportProjects and sessionsAgent modesKeyboard shortcutsCLI toolClaude Code sessionsCodex sessions

Session Environments

Git worktreesSSH sessionsCloud sessionsLocal container sessions

Integrations

OverviewGitHubVercelRailwayLinear

Usage & Billing

Tokens and contextPricingPlans and rate limitsUpgrade subscriptionDowngrade subscriptionRefundsCancel subscription

Tutorials

Snake game starter

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Welcome

Learn the core workflows that help you get higher output quality, lower context waste, and faster iteration in Spatial.

Start here

Spatial works best when you treat sessions as focused work units. Keep each session scoped to one outcome, then start fresh when that outcome is done.

This docs set focuses on how to use the desktop app and harness effectively, not implementation internals.

Quickstart

A practical first-session workflow you can copy.

Prompting guidelines

Write requests that stay precise and actionable.

Context basics

Understand context pressure before it slows you down.

Layout modes

Choose split vs default layout based on your project.

Core loops to adopt early

  • Prompt -> verify -> refine: do not jump straight to giant multi-hour asks.
  • Compact context when quality starts drifting, then continue with clearer direction.
  • Use subagents for exploration and analysis work to preserve main-session focus.
  • Use stash/pop to park drafts and keep your input box clean while you test options.

High leverage habit

When you finish a task, start a fresh session for the next one. This reduces context rot and usually lowers usage cost over time.