Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
4-2026
Abstract
Software development remains predominantly text-centric, despite decades of evidence showing that developers think and communicate visually. While sketches and diagrams externalize developers’ mental models, they remain disconnected from source code and quickly become outdated. Recent advances in foundation models, capable of both code and visual reasoning, create an opportunity to unify these representations. In this vision paper, we introduce Visual Loop, a continuous visual development environment that keeps code and informal sketches in bidirectional synchronization. Our prototype connects a code editor with a tablet-based visualization workspace, allowing developers to explore, annotate, and modify systems through freehand sketches interpreted by multimodal LLMs. By grounding AI reasoning in static analysis and visual context, Visual Loop transforms sketching from passive documentation into an active interface for software evolution. We present illustrative scenarios, discuss cognitive and comprehension benefits, and outline directions for user studies and real-world integration.
Keywords
Code Visualization, Developer Tools, LLMs, Sketch Recognition
Discipline
Graphics and Human Computer Interfaces | Software Engineering
Research Areas
Intelligent Systems and Optimization
Areas of Excellence
Digital transformation
Publication
FORGE '26: Proceedings of the 2026 IEEE/ACM Third International Conference on AI Foundation Models and Software Engineering, Rio de Janeiro, Brazil, April 12-13
First Page
195
Last Page
200
ISBN
9798400724770
Identifier
10.1145/3793655.3793729
Publisher
Association for Computing Machinery, Inc
City or Country
Rio de Janeiro
Citation
GOMES, Luis Filipe Fernandes; ZHOU, Xin; LO, David; and ABREU, Rui.
Visual Loop: Bridging the cognitive gap in software development through visual-AI collaboration. (2026). FORGE '26: Proceedings of the 2026 IEEE/ACM Third International Conference on AI Foundation Models and Software Engineering, Rio de Janeiro, Brazil, April 12-13. 195-200.
Available at: https://ink.library.smu.edu.sg/sis_research/11310
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3793655.3793729