HGATE – Human-Guided AI-Assisted Traceable Engineering (mali-tintash.github.io)

hGATE (Human-Guided AI-Assisted Traceable Engineering) has introduced a manual, structured workflow for specification-driven development that integrates an AI coding agent to enhance software creation while ensuring complete traceability. This system employs domain-driven, behavior-driven, and test-driven development methods, linking every element from specifications to shipped code and tests, thus preventing any drift from approved requirements. The AI agent supports one skill at a time, and each action is confirmed by human oversight, ensuring controlled development and strict adherence to specifications. This approach is significant for the AI/ML community as it addresses common challenges in software development, including scope creep and lack of accountability in code implementation. By establishing clear bounded contexts and maintaining rigorous documentation of every decision, hGATE creates a systematic framework that not only automates parts of the coding process but also tracks project clarity and consistency throughout the lifecycle. The integration of automated consistency checks and review protocols ensures that all testing scenarios have real-world ties, thereby mitigating the risks of untested features and enhancing software reliability. Ultimately, hGATE aims to streamline the development process while preserving rigorous checks, making it a notable advancement in AI-assisted engineering practices.