Tech debt is a hidden tax on engineering, quietly consuming 25–40% of developer capacity. Traditional approaches can't keep up. AI doesn't make tech debt disappear, but it changes the economics of managing it, turning a reactive chore into a measurable, strategic advantage for organizations.
Four pillars: improve experience, empower autonomy, foster collaboration, accelerate the SDLC. Here is how each one maps to the three outcomes your business already tracks: retention, acquisition, and operational efficiency.
AI isn’t replacing product development - it’s compressing it. Learn how teams use AI across discovery, roadmap alignment, PRDs, user research, engineering scoping, and delivery to ship better products faster without sacrificing ownership or quality.
Software organizations face a critical challenge in measuring and improving developer productivity. While the technology industry spends over $300 billion annually on software development, studies show that:
* 35% of development effort is wasted
In a comprehensive new study published in January 2025, where I was also one of the researchers, some valuable insights rose from deploying an AI coding assistant across the engineering organization of 400+
