# /6  Robustness & Diagram Validation – Polishing the Final Version (Solidsight v11)

### **The Need for Rigorous Validation**

As Solidsight matured, accuracy became paramount. One key improvement was ensuring generated Mermaid diagrams were accurate and meaningful, addressing the occasional production of invalid placeholder diagrams by the LLM.

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### **Validation and Regeneration Logic**

I developed a function to validate generated diagrams:

```python
def is_valid_mermaid(diagram):
    return (diagram.strip().startswith(("flowchart TD", "sequenceDiagram"))
            and "Default Diagram" not in diagram)
```

When invalid diagrams were detected, the tool would prompt users to regenerate them using the original contract code.

### **Persistent Challenges Solved**

Previously, invalid diagrams went unnoticed, causing confusion for users. With this validation step, such diagrams were caught and addressed immediately, ensuring consistently high-quality outputs.

### **Final Reflections**

Implementing robust validation and regeneration was perhaps one of the most impactful improvements. It highlighted the critical importance of quality assurance processes, ultimately turning Solidsight into a dependable, polished tool suitable for serious contract analysis.

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## Where can you find it?

I took the to Github as a fellow SR on X showed some interest in using it, and the app made is now available for all to use and adapt to their liking. The overall code isn’t complex, I used AI and made adjustments where needed (it speeds up the process) - Manually creating is fun, but, my time is spent in codebases looking for bugs, I try not to spend too much time building unless its completely necessary.

I also changed the name to DeepCurrent, I like Solidsight, but, as a final version 1, this was the choice.

Have fun & happy hunting: [App: DeepCurrent](https://github.com/pxng0lin/DeepCurrent)