TY  - JOUR
AU  - Shaik Razia
AU  - K Jayanthi
AU  - S Ganesh
AU  - G Govardhan Reddy
AU  - H M Mehataz
AU  - K Lalitha
PY  - 2026
DA  - 2026/04/25
TI  - Generative AI For Diagrams As Code And Code As  Diagrams
JO  - Global Journal of Engineering Innovations and Interdisciplinary Research
VL  - 6
IS  - 4
AB  - Modern software projects often involve extensive codebases that are difficult to navigate, document, 
and keep consistent across multiple teams and repositories. Traditional documentation often becomes 
outdated, leading to inconsistencies and unclear architectural insights. To address this, Generative 
AI and Large Language Models (LLMs) such as ChatGPT and Claude automate the bidirectional 
transformation between code and diagrams, seamlessly integrating into software workflows. The 
proposed framework uses PlantUML and TikZ, to improve debugging, documentation, and versioning. 
Neo4j is used for natural language retrieval, and advanced queries using Cypher as well as similarity 
searches. This hybrid approach mitigates LLMrelated challenges like hallucinations by combining 
database integration with prompt engineering. By consolidating code, diagrams, and metadata into a 
unified resource, the framework aims to improve maintainability, collaboration, and transparency, as 
demonstrated in initial qualitative use cases.
SN  - 3066-1226
UR  - https://dx.doi.org/10.33425/3066-1226.1290
DO  - 10.33425/3066-1226.1290