AI & ML
Managing Technical Debt in AI-Assisted Development
The promise of AI-assisted development is hard to ignore. Teams are shipping faster, prototyping more freely, and reducing repetitive engineering work in ways that felt unrealistic just a few years ago. Tools powered by large language models can generate code, suggest refactors, and even debug issues in real time. But beneath this acceleration lies a quieter, more complex challenge: technical debt is not disappearing, it’s evolving.