AI can 10x developers in creating tech debt (stackoverflow.blog)

TurinTech, a startup founded by data scientists from University College London, has introduced Artemis, an AI engineering platform aimed at assisting development teams in managing and improving existing codebases. This announcement is significant as it addresses the prevalent challenge of "tech debt" in software development, especially in environments laden with legacy code. Michael Parker, VP of Engineering at TurinTech, highlighted the dual nature of AI's impact on productivity, noting that while some teams see significant benefits, others—particularly those dealing with outdated technologies—struggle, with experienced developers reportedly slower when using AI tools. The Artemis platform aims to bridge this gap by leveraging AI to enhance planning, coding, review, and maintenance processes. Parker emphasized the need for better tools that provide context and support tailored to diverse development environments. By focusing on collaborative AI agents for planning and integrating various expertise, Artemis aspires to not only streamline development but also ensure that developers—especially newcomers—can learn and grow in their roles. The platform's innovative approach could reshape how AI integrates into software engineering, making it a crucial development in the evolving landscape of AI/ML tools.