Crazy Speed with O Limiting Features with AI-Assisted Development (medium.com)

A small team of two developers is pushing the boundaries of AI-assisted development with their open-source voice AI tutoring platform, UnaMentis. Their experiment investigates whether a modest team can achieve enterprise-grade quality—typically the domain of larger teams—by leveraging layered AI tools, guided by deep technical experience. This approach prioritizes maintaining high standards in code quality while accelerating development time, marking a significant evolution in the application of AI in software engineering. To achieve these goals, the team has implemented a "Code Quality Initiative," incorporating five phases that enhance automation and quality control. These include pre-commit hooks for formatting enforcement, nightly end-to-end tests, multi-layered security controls, and automated AI-driven code reviews. While the experiment is ongoing and some challenges remain—such as whether subtle architectural nuances can be captured by AI—the team highlights improvements in catching issues early and streamlining feedback loops. By openly documenting their process, they invite others in the AI/ML community to engage with their findings and contribute insights, fostering collaboration in this rapidly evolving field.