🚀 Building NeuroForm AI — Turning Forms into Intelligent Systems (#BuiltWithMeDo)

REX — Mon, 20 Apr 2026 00:05:21 +0000

Traditional form builders are static. They collect data — but they don’t understand it.

So I built NeuroForm AI.

👉 An AI-powered questionnaire platform that doesn’t just ask questions — it thinks, adapts, and generates insights in real-time.

🧠 What is NeuroForm AI?

NeuroForm AI is a next-generation form builder inspired by tools like Typeform, but enhanced with multiple AI capabilities.

Instead of static forms, it creates intelligent, adaptive conversations.

✨ Key Features

🤖 AI Form Generator — Create full questionnaires from a simple prompt
🔄 Adaptive Questions — Questions evolve based on user responses
🌍 Multi-language Support — Real-time translation
🖼️ AI Image Questions — Generate visuals dynamically
📄 OCR Processing — Extract text from uploaded files
🧠 AI Insights — Detect patterns, sentiment, and trends
⚡ Automation Workflows — Trigger actions based on responses

🏗️ Built With MeDo

This project leverages the power of MeDo.dev and its plugin ecosystem:

Large Language Model → question generation & insights
Image Generation (Kling) → visual content
OCR → document understanding
Google Translation → multilingual support
Stripe → SaaS monetization

All combined into a modular, scalable AI system.

🔥 Why This Matters

Most tools stop at data collection.

NeuroForm AI goes further:

It transforms responses into intelligence.

This opens up new possibilities for:

Market research
Recruitment & screening
User feedback analysis
Data-driven decision making

🧪 Try It Out

I’d really appreciate any feedback from the community 🙏
Feel free to test it here:

👉 https://app-b2dgc0qt648x.appmedo.com

💬 Feedback Welcome!

This is still evolving, and I’d love to hear your thoughts:

What would you improve?
What features would you add?
Where could this be most useful?

Thanks for checking it out! 🚀

10x Productivity in Practice? A Real-World Experience Using Kiro to Refactor and Revive Legacy Code

REX — Wed, 19 Nov 2025 05:10:08 +0000

1. 💡 Introduction: The Developer’s "Project Graveyard" Reality

Start with a relatable hook: Acknowledge the universal truth that every developer has a "Graveyard" of abandoned projects on GitHub or their hard drive.
Introduce Your Project: "In my case, it was Graveyard (link to https://github.com/REXREUS/Graveyard). Whatever its initial purpose, the project had stalled and needed a serious reboot."
The Solution Bridge: "However, instead of letting it rest, I decided to experiment with a cutting-edge new tool: Kiro, an Agentic AI IDE promising a revolutionary Spec-driven Development approach."
Article Goal: This article will share my journey using Kiro to:
- Redefine clear requirements (The Spec).
- Regenerate/fix existing code with high quality.
- Significantly boost the project's documentation and maintainability.

2. 🤖 Understanding Kiro: The Spec-Driven AI IDE

Briefly explain Kiro, citing its technical differentiation (from authoritative sources):

Definition: Kiro is not just a code completion tool (like Copilot); it's a goal-oriented, Agentic AI IDE that operates using a proprietary Agentic Reasoning Loop.
Core Focus: Kiro transforms natural language prompts into a structured Spec (Specification), complete with EARS (Easy Approach to Requirements Syntax) Requirements and a formal Design Document.
Why It Matters for Old Projects?: Graveyard projects often lack clear specs or documentation. Kiro excels at generating that missing, structured specification, which is the critical first step to revitalization.

3. 🛠️ The Case Study: Reviving Graveyard with Kiro

This section is the core, detailing specific steps using the Kiro workflow:

A. Code Analysis and Context Awareness

Action: I loaded the Graveyard project into Kiro.
Kiro's Role: Kiro automatically built a comprehensive, multimodal understanding of the existing codebase, git diffs, and project structure, even with old, complex code.
Benefit: I could instantly query Kiro to explain the forgotten functions or architecture, providing instant context and saving hours of manual review.

B. Redefining Goals with Formal "Specs"

Action: I defined a new feature or revised an old one through a Spec (Example: "Add an automated archiving feature for repositories inactive for one year").
Kiro's Role: Kiro translated the request into sequential User Stories, EARS Acceptance Criteria, and manageable Implementation Tasks.
Code Example (Optional/If Applicable): Show a screenshot or snippet of a structured Spec generated by Kiro.

**C. Rapid Implementation and Refactoring (Agentic Autonomy)**

Action: I utilized Kiro’s Autopilot Mode or Supervised Mode.
Kiro's Role:
- Kiro executed the implementation tasks autonomously, modifying multiple files simultaneously (Multi-File Context) to adhere to the Spec.
- It helped remediate *code smells* and optimize performance within the old Graveyard code, moving it toward an enterprise-ready standard.
Crucial Highlight: Emphasize Kiro's Checkpointing feature, which allows you to "roll back" changes if anything goes wrong—a vital safety net when working with brittle, legacy code.

D. Quality Assurance with Property-Based Testing (PBT)

Action: Leveraging Kiro’s testing capabilities.
Kiro's Role: Kiro didn't just write Unit Tests; it extracted general properties from the Spec and tested the generated code against thousands of random test cases using PBT, ensuring the fixed code truly met the specification.
Impact: This dramatically increased confidence in the reliability of previously "abandoned" code.

4. 📈 Key Takeaways and Conclusion

Transparency & Control: Despite Kiro being an AI, the developer maintains full oversight. Every proposed change is presented as a transparent diff, requiring human review and approval.
Spec-Driven is the Future: This approach resolves the fundamental issues of vibe coding (fast but unmaintainable prototypes) by forcing consistent structure and documentation.
The Result for Graveyard: My Graveyard project now has better documentation, refactored code, and a clear path forward, all thanks to the rigorous structure enforced by Kiro.

"Kiro doesn't just write code; it forces you to think like a software architect, even for the projects you thought were long gone."

5. 📞 Call to Action

"Have you experimented with Kiro yet? What's your experience been like reviving old projects? Check out REXREUS/Graveyard on GitHub and leave a star! Let’s discuss in the comments!"
(Include links to Kiro IDE and your GitHub again).

Forem: REX