Trustworthy AI Coding Assistants
Building reliable agentic AI systems for software engineering
This research examines how Large Language Models (LLMs) can be transformed into trustworthy AI software engineers through agentic architectures.
- LLMs show promising code generation capabilities but require enhanced trust mechanisms
- Agentic AI systems can integrate code generation with analysis tools for verification
- Trust in AI-generated code must match or exceed current human-driven practices
- Structured framework bridges AI capabilities with software engineering requirements
For engineering teams, this represents a significant shift toward AI augmentation that maintains quality and reliability standards while accelerating development cycles.