Plan first. Run Cursor Agent or Background Agents with a reviewed spec.
Discover files, generate and merge multi-model plans, then execute in Cursor Agent Terminal or Background Agents with full architectural context.
Cursor Agent mode and Background Agents plan internally during execution. PlanToCode adds pre-planning with file discovery, multi-model insights, and reviewable specs before Agent runs.
$5 free credits • Pay-as-you-go • Works with all major AI coding tools
This page describes how PlanToCode's architectural pre-planning integrates with Cursor Agent Terminal and Background Agents, with all claims verified against Cursor's official documentation.
What PlanToCode gives you here
Human-in-the-loop governance
Maintain full control over AI-generated implementation plans. Review proposed changes, edit plan details, and approve before execution. Every step is visible, auditable, and aligned with your requirements.
File-by-file plans with exact repository paths
Implementation plans break down changes on a file-by-file basis with exact paths corresponding to your project structure. This granular approach ensures complete visibility into what will be modified.
Intelligent file discovery
Surface the right files before writing prompts. The file discovery workflow uses pattern groups, relevance scoring, and staged reviews to identify exactly which files your AI needs.
Integrated terminal with CLI detection
Launch AI coding CLIs directly in the built-in terminal without leaving your workspace. Health monitoring, auto-recovery, and resize handling keep long-running jobs stable.
Persistent sessions and logs
Terminal output is stored locally, and project sessions reload on startup. Close the application and return days later to pick up exactly where you left off.
Privacy and local storage
All sessions are stored locally on your machine in SQLite. When you use AI features, you see exactly what will be sent to AI providers before confirming. No hidden data collection.
How it works with this tool
Cursor Agent Terminal runs commands within your IDE
Cursor Agent Terminal executes terminal commands and CLI tools directly within the Cursor IDE. It provides an integrated environment for running tasks without leaving your development workspace.
Cursor Background Agents operate in isolated VM environments
Cursor Background Agents run tasks in isolated virtual machine environments, providing separation from your local system. These agents can execute longer-running operations independently.
PlanToCode provides pre-execution architectural context
File discovery surfaces the full architectural scope of changes before execution begins. Multi-model plan synthesis compares approaches from different AI models. Merged specs provide clear, reviewable implementation plans that Cursor Agent can follow.
Persistent terminal sessions with cross-platform support
PlanToCode terminal features include persistent sessions that survive app restarts, full WSL support on Windows for Linux-based workflows, and health monitoring to track long-running operations. All terminal output is stored locally with full session history.
Quickstart
- 1Install PlanToCode on the same machine as Cursor
Download PlanToCode for macOS, Windows, or WSL and connect it to your repository.
- 2Run file discovery for your task
Generate a focused set of files and dependencies that Cursor Agent will need to consider.
- 3Generate and merge plans
Create implementation plans from multiple AI models and merge them into a comprehensive, Cursor-ready specification.
- 4Execute with confidence
Provide the plan to Cursor Agent Terminal or Background Agents, or run it in PlanToCode's terminal with approvals and full logging.
Verified from official sources
Cursor Agent Terminal provides AI-powered command execution directly in the IDE
Official docsBackground Agents run tasks in isolated virtual machine environments
Official docsCursor provides Composer mode for AI-assisted code generation
Official docsCursor indexes your codebase for context-aware suggestions
Official docsCursor CLI enables terminal-based interactions with AI features
Official docsFrequently Asked Questions
Everything you need to know about PlanToCode
Ready to get started?
Plan software changes before you code. Review scope, merge multi-model insights, and execute with full visibility.