The article explores how to measure the ROI of Cody, a GenAI-powered coding assistant, in engineering. It discusses the challenges of quantifying productivity gains, the importance of adoption rates, and the impact on code delivery speed. Key metrics include hours saved, usage percentage, and speed to merge request. The findings reveal enhanced productivity, cleaner code, and increased developer satisfaction, but also highlight the need for tailored onboarding and cultural alignment. The journey is ongoing, with a focus on refining metrics and maximizing GenAI’s potential.

Modern software development faces a persistent challenge: balancing quality and technical debt at scale. Traditional imperative approaches require developers to manually fix issues, leading to inconsistent governance and mounting technical debt.

Declarative Prompt as Code changes the game by enabling developers to define rules, invariants, and constraints about their codebase, enforced continuously by AI-powered agents. This revolutionary approach transforms governance from a reactive chore into an automated, self-healing system that integrates seamlessly into developer workflows.

Discover how this paradigm shift reduces technical debt, enhances productivity, and ensures that today’s code doesn’t become tomorrow’s legacy.

Read more to explore the future of AI-driven software governance.