Original Summary

I've been building with Cursor and Lovable for a while. Fr the first 80% of a project, they're amazing, but then you hit the wall. The moment you're entering the final lap where everything needs to connect, the AI starts losing context, hallucinating, going in circles, and burning credits to fix a single bug. So I built Zalcro, the AI technical co-founder for vibe coders and agentic builders. You tell it what you're building, it asks you questions, and outputs tickets or prompts to feed directly to Lovable or Cursor. You also get your architecture and implementation plan, which you pin into Cursor's context or Lovable's knowledge base before your first prompt. When the agent starts with the blueprint, it won't guess. To test it, I had it generate a blueprint for an Airbnb clone. Without a blueprint, most agents get the booking race-condition logic wrong. With Zalcro, everything is mapped out before the AI touches anything. Sample can be viewed here - https://zalcro.ai/samples/rentify-airbnb-clone https://zalcro.ai/samples/rentify-airbnb-clone ) Curious about your pre-build process. What do you do before you start prompting?   submitted by   /u/Cational_Tie_7574 [link]   [comments]

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/23 01:47:27