An autonomous CLI tool that implements Plan2Code specs by looping through tasks automatically.
> **Note:** This is an **alternative** to `/plan2code-3--implement`, not a replacement. Use the manual Step 3 workflow when you want interactive control over each phase, or use this loop when you prefer hands-off autonomous execution.
## Installation
```bash
# From the plan2code root directory:
# Option 1: Install everything (recommended)
node install.js # Select option A
# Option 2: Install loop only
node install.js # Select option O
# Option 3: Manual build and link
cd plan2code-loop
npm install
npm run build
npm link
```
## Usage
Simply run the command - everything is interactive:
```bash
plan2code-loop
```
The CLI will:
1. Auto-detect specs in `./specs/` directory
2. Let you select a spec if multiple are found
3. Prompt to continue if an existing session is found
| **One task per loop** (default) | Each agent invocation implements exactly one task | Node controller commits after each task | Smaller models, careful step-by-step execution |
| **One phase per loop** | Each agent invocation implements all remaining tasks in the current phase | LLM commits after each task (with JIRA ID if provided) | Smart models with larger context windows, keeping related tasks together |
In **phase mode**, the AI outputs multiple `TASK_COMPLETE` markers (one per task) within a single iteration, followed by `PHASE_COMPLETE` or `LOOP_COMPLETE`.
Session state is stored **per-spec** inside the spec directory:
```
specs/my-feature/
├── overview.md
├── phase-1.md
├── phase-2.md
└── .plan2code-loop/ # Per-spec session state
├── config.json # Session configuration
├── scratchpad.md # LLM-managed progress notes
├── iteration.log # JSON log of each iteration
└── spec.hash # Hash for detecting spec changes
```
The scratchpad is managed by the LLM itself - after each task, the AI appends notes about what was done, decisions made, and files changed. This helps future iterations skip exploration.
## Supported Agents
| Agent | Status |
|-------|--------|
| Claude Code | Supported |
| GitHub Copilot CLI | Supported |
The loop uses your configured default model for each agent.