Plan software changes before you code

PlanToCode helps you find the right files, generate and merge implementation plans, then run them in a persistent terminal. You see scope before you run anything. Plans are editable and traceable.

Human-in-the-loop AI Planning for Large & Legacy Codebases

Generate granular, file-by-file implementation plans with exact repository paths. Review, edit, and approve all changes before securely handing off to coding agents or developers - preventing regressions and ensuring every change aligns with your team's requirements.

File discovery workflow

Pattern groups
Relevance scores
Stage reviews
Context optimization
Real-time progress

Surface the right files before you write prompts. Learn more

Multi-model planning

GPT-572%
Gemini 2.5 Pro91%
Claude Sonnet 485%

Generate implementation plans from GPT-5, Gemini 2.5 Pro, Claude 4 Sonnet, Grok 4, and DeepSeek R1 and merge the best ideas. Explore the workflow

Integrated terminal

$ codex | claude | cursor | gemini
> Voice transcription available
> Prompt preview before run
> Token guardrails in place
> Logs persist locally

Launch claude, cursor, codex, or gemini without leaving the workspace. Health monitoring and recovery keep long jobs running. Terminal details

Human-in-the-loop Governance

Maintain full control over AI-generated implementation plans. Review, edit, approve, and audit every step before execution.

File-by-file Plans with Exact Paths

Implementation plans break down changes on a file-by-file basis with exact repository paths, ensuring complete visibility into what will be modified.

Review, Edit & Approve Workflow

Team leads and stakeholders can review proposed changes, directly edit plan details, request modifications, and approve plans before execution.

Safe Handoff to Agents

Once approved, plans are securely transmitted to your chosen coding agent or assigned to developers, preventing regressions and ensuring alignment with requirements.

Specification Capture & Refinement

Rapidly crystallize ideas into clear, actionable specifications with voice dictation and AI-powered enhancement.

Voice Dictation

Capture initial requirements through voice input, which you can then refine manually for precision and clarity.

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Text Enhancement

Improve grammar, sentence structure, clarity, and conciseness while maintaining your original intent, tone, and technical detail level.

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Task Refinement

Expand task descriptions by identifying implied requirements, clarifying expected behavior and edge cases, and adding technical considerations.

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Meeting & Recording Ingestion

Transform Microsoft Teams meetings and screen recordings into actionable implementation requirements.

Multimodal Analysis

Upload Microsoft Teams meetings or screen recordings. Advanced multimodal models analyze both audio transcripts (with speaker identification) and relevant visual content (shared screens, presented documents, key moments) to extract specification requirements.

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Review & Incorporate Insights

Extracted insights - summarized decisions, action items, and key discussion points - are presented in an intuitive interface where team leads can review, select, and incorporate them into actionable implementation plans.

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Mechanisms

Built for developers tackling large & legacy codebases. If you use Claude Code, Cursor, or Aider - this is your planning layer.

Specification capture & refinement

Voice dictation for rapid input, text enhancement for clarity, and task refinement to identify implied requirements and edge cases.

Meeting recording ingestion

Upload Microsoft Teams meetings or screen recordings. Multimodal analysis extracts specifications from audio transcripts and visual content for review and incorporation.

Human-reviewed implementation plans

Generate file-by-file implementation plans with exact repository paths. Review, edit, and approve changes before execution to prevent regressions and ensure alignment with requirements.

File discovery workflow

Start staged background jobs for regex pattern generation, relevance scoring, and path correction. Review each stage before applying the results to your session.

Voice transcription pipeline

Record task descriptions or terminal commands and send them through the transcription service. Configure language and temperature defaults for each project.

Text improvement popover

Highlight any selection to run the text-improvement job with Claude 4.5 Sonnet or Gemini 2.5 Flash. The rewrite preserves formatting and applies inside Monaco editors, task inputs, and terminal dictation.

Model configuration per task

Choose from Gemini 2.5 Pro, GPT-5, Claude 4.5 Sonnet, Grok 4, DeepSeek R1, and Kimi K2 for implementation plans. Settings persist per project.

Token guardrails & prompt preview

View the exact prompt, estimated token counts, and context window warnings before you submit a job. Adjust instructions with full visibility.

Monaco implementation plan editor

Plans open in a Monaco editor with syntax highlighting, diff-friendly formatting, and clipboard helpers. Edit steps, store drafts, and keep templates ready for the next task.

Merge plans with instructions

Select multiple plans, write merge guidance, and keep the merged output alongside the originals. Iterate until the approach matches your standards.

Integrated PTY terminal with CLI detection

Launch claude, cursor, codex, or gemini directly in the built-in terminal. Health monitoring, auto-recovery, and resize handling keep long-running jobs stable.

Persistent sessions and logs

Terminal output is stored in a 5 MB ring buffer and project sessions reload on start-up. Pick up outstanding work without rebuilding context.

Built for Professional Development

Pay only for AI inference with transparent token costs. Watch your ROI in real-time - one saved production incident pays for months of usage.

Transparent Pricing

Start with usage-based pricing to validate results. No subscriptions. Just transparent API costs.

Usage-Based Pricing

Pay only for what you use.

Test Plan Editor, Merge Instructions, Terminal Integration. Auto top-off when you're convinced.

Frequently Asked Questions

Everything you need to know about PlanToCode

Yes. PlanToCode provides a human-in-the-loop workflow where team leads and stakeholders can review generated implementation plans, edit details, request modifications, and approve changes before they are executed by coding agents or developers. This ensures corporate governance and prevents regressions.
Upload Microsoft Teams meeting recordings or screen captures to PlanToCode. Advanced multimodal models analyze both audio transcripts (including speaker identification) and visual content (shared screens, documents) to extract specification requirements. You review the extracted insights - decisions, action items, discussion points - and incorporate them into implementation plans.
Yes. Implementation plans break down changes on a file-by-file basis with exact repository paths corresponding to your project structure. This granular approach ensures you know exactly what will be modified before execution, providing complete visibility and control.
Human-in-the-loop AI Planning

Ready to coordinate your next implementation plan?

Plan, review, and run AI-assisted changes from one workspace. Keep models, prompts, files, and terminal output aligned.

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