Hey Product Hunt - I’m Kiryl, maker of PlanToCode.

If you’ve watched an AI coding agent go off the rails in a big repo, the culprit is usually context, not the model.

Speak it or show it: Describe your task by typing, voice typing, or a quick screen recording. PlanToCode analyzes recordings frame-by-frame and turns what it sees (plus your voice notes) into an actionable spec.

PlanToCode fixes context in three moves:

Find Files - AI reads actual code and expands to dependencies to shrink 1,000+ files down to the 10–20 that matter (and saves the set for reuse).

Plan in Parallel - Spin up plans from multiple models (Claude 4.5, Gemini 2.5 Pro, GPT-5, Grok 4), compare side-by-side, then merge the best parts into one executable blueprint.

Ship with your agent - Export to Claude Code or Cursor and make changes in the right places.

What’s different

Voice typing + 2-min screen recording → frame-by-frame analysis into specs

Looks at code content, not just filenames

Results persist across sessions ("Use Files" for instant context reuse)

Deep Research brings in current docs tied to your task

Live token + cost while plans generate (cancel anytime)

You control prompts at every stage

Privacy & pricing

Local-first Mac app; sessions/history in SQLite

You choose exactly what gets sent; nothing leaves your machine unless you confirm

Apple-notarized build; pay-as-you-go with free welcome credits (no subscriptions)

Try it

Download for Mac and Windows

🇩🇪 Made in Germany by helpful bits GmbH

What I’d love your feedback on

File selection accuracy

Plan merge quality

Onboarding friction (first task to first useful plan)

Thanks for checking it out!

— Kiryl