This repository is part of an academic research project on AI-powered autonomous test automation agents, integrating Large Language Models (LLMs), Semantic Kernel, and Retrieval-Augmented Generation (RAG).
- The core architecture, prompt engineering, and agent logic are original contributions by Anton Angelov.
- This work serves as the foundation for a PhD dissertation at the Technical University of Sofia.
- The system demonstrates AI agent-based planning, execution, healing, and diagnostics in automated testing.
- The AI agent logic, planning structure, prompt strategies, and memory integration were designed by the author.
- Implementation of auxiliary components (e.g., PR automation, UI fixes) may involve contributions from collaborators under the author’s supervision. All core design and research aspects remain attributable to the author.
If you reuse or reference this project in academic, research, or commercial contexts, please provide appropriate attribution.
Licensed under the Apache 2.0 License.