Vibe Coding Translator - Convert natural language into precise prompt for AI agents
byโข
Stop AI coding agents from over-engineering. Vibe-to-Spec is the essential bridge between vague ideas and precise execution for Claude, Cursor, and Windsurf.
Keep your AI on-spec, drastically reduce token waste, and transition "vibe coding" into stable production code.
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Gemini ่ชชไบ
Hi Product Hunt! I'm the builder of Vibe Coding Translator. ๐ถ
I built this to solve a personal pain point: Claude hallucinating and Cursor burning tokens during long sessions.
Why Vibe Coding Translator?
Stop Logic Loss: Prevents AI from rewriting entire files and losing intent.
Reduce Token Waste: Stops expensive AI "drifts" and unasked-for refactors.
Intent Locking: Provides a rigid "Ground Truth" for any LLM to follow.
๐ PH Special Offer (+10 Extra Trans):
Direct Link: https://soluneai.com/vibe-coding-translator/?ref=LWK086
Referral Code: LWK086
Quick update for everyone! ๐
I've been asked how Vibe Coding Translator compares to just using "Custom Instructions" in Cursor. The key difference is Structural Consistency:
Rigid Schema: We enforce a Markdown schema that agents find much easier to follow without drifting.
Context Management: It prevents AI from losing the "Ground Truth" during long sessions.
Predictable Output: Unlike instructions, which can be ignored, trans act as a hard boundary.
Token Efficiency: By providing a fixed trans, you stop the agent from burning credits on unasked-for refactors and hallucination loops.
(By the way, we also have an open-source companion!) ๐ก๏ธ
For those interested in the underlying logic, we've shared our "Vibe Stack" coding rules on GitHub. These are the Markdown-based rules we use to maintain consistency and save tokens during AI development: ๐ https://github.com/solune-lab/the-vibe-stack
Iโd love to hear: whatโs your biggest pain point when prompt engineering for long coding sessions?