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+
Imagine if every step of building software had a smart assistant helping out - That future is quickly becoming a reality. The Software Development Lifecycle (SDLC) – from initial planning all the way to monitoring
In modern software development, measuring productivity is critical to ensuring high-quality output while maintaining speed and efficiency. However, productivity should not be assessed in isolation—quality and efficiency must be balanced to
