Gigasoft Introduces AI-Powered Charting Code Validation Tool

ProEssentials v10 includes pe_query.py, which eliminates the top issue in AI-assisted charting development.

Published on Mar. 6, 2026

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Gigasoft, Inc. has released ProEssentials v10, which includes a new Python-based tool called pe_query.py that works with AI assistants like Claude, ChatGPT, and GitHub Copilot. The tool validates every charting property path against the compiled DLL binary, eliminating the common issue of AI-generated code containing property names that do not actually exist in the charting library. This allows developers to receive fully validated code from the AI, saving time and reducing errors.

Why it matters

Hallucinated property names in AI-generated charting code is a major pain point for developers, as it forces them to manually review and correct the code before it can be used. Gigasoft's new validation tool solves this problem, enabling developers to leverage the power of AI while ensuring the resulting code is fully compatible with the charting library.

The details

The pe_query.py tool provides AI assistants with access to the complete ProEssentials API, including 1,104 properties, 80 methods, 40 events, and 167 enumerations. Before delivering code to the developer, the AI runs a "validate" command that checks each .NET property path against this authoritative source, providing correction suggestions for any invalid paths. This eliminates the possibility of hallucinated property names in the final code.

  • ProEssentials v10.0.0.20, which includes the pe_query.py tool, was released in February 2026.

The players

Gigasoft, Inc.

A software company based in the Dallas-Fort Worth area that develops the ProEssentials charting component library for various .NET frameworks.

Robert Dede

The founder and lead engineer at Gigasoft, Inc.

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What they’re saying

“Every other charting vendor tells developers to review AI-generated code for accuracy. We decided to solve the problem instead of warning about it. The validate command makes hallucinated property names structurally impossible.”

— Robert Dede, Founder and Lead Engineer, Gigasoft, Inc.

“A customer emailed us with a Gantt charting question. I loaded their requirements into a Claude Opus 4.6 Extended conversation with our knowledge files. Claude built a full Gantt implementation using our GraphAnnotation and custom Y-axis features — code that does not exist in any of our 116 examples. It mostly worked on the first attempt. That is not autocomplete. That is an AI that understands the architecture well enough to invent new solutions.”

— Robert Dede, Founder and Lead Engineer, Gigasoft, Inc.

What’s next

Gigasoft recommends using the Claude Opus 4.6 Extended AI assistant with the ProEssentials knowledge files for the best results when generating validated charting code.

The takeaway

Gigasoft's new pe_query.py tool solves a major pain point in AI-assisted charting development by eliminating the risk of hallucinated property names in the generated code, allowing developers to leverage the power of AI while ensuring the resulting code is fully compatible with the charting library.