Feature planning

Ship large features with traceable plans

Multi-stage delivery depends on consistent scope, reviewable plans, and predictable token usage. PlanToCode keeps these signals connected from the first workflow run to the final terminal session.

Start with the same scope

Use the file discovery workflow to gather relevant directories for every task. Inputs are validated, background jobs run via the Workflow Orchestrator, and the selected roots are stored so later plan revisions reuse the same repository slice.

File discovery workflow

Coordinate implementation plans

Plans stream into the Monaco viewer and stay linked to their background jobs. Navigate previous drafts, merge multiple plans, and open the terminal modal for a specific job without losing context. Token estimates run before you export prompts.

Implementation plans

Pick the right model per task

Each task type provides a default model and an allowed list. The model selector toggle prevents sending prompts that exceed the model's context window and surfaces the estimated token requirements drawn from the backend command.

Model configuration

Keep execution aligned

Terminal sessions store output logs in SQLite and expose connection health, so long-running feature work remains auditable. If your team records walk-throughs, voice transcription adds searchable notes alongside the commands that executed them.

Terminal and transcription

Key Features for Large Projects

Smart File Discovery

Find all impacted files across your large codebase

Explore File Discovery

Implementation Plans

Generate and merge plans from multiple AI models

Learn About Plans

Integrated Terminal

Execute plans in persistent terminal sessions

See Terminal Features

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Ship Complex Features with Confidence

From first workflow to final deployment, maintain perfect traceability. This is how feature delivery should work: coordinated, predictable, traceable.

Ship Large Features with Traceable Plans - PlanToCode | PlanToCode