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.
Validation and Regeneration Logic
I developed a function to validate generated diagrams:
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.
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
