For engineering teams, measuring the right things is crucial for success. This post explores how to build an effective engineering metric program that aligns with product goals and drives continuous improvement. It covers topics such as defining relevant KPIs for engineering, turning data into actionable insights, and fostering collaboration with other departments. Learn how to move beyond simply counting errors and focus on metrics that truly impact user experience and business outcomes.
Generative AI (GenAI) is revolutionizing front-end development, empowering developers to streamline workflows, enhance productivity, and unleash their creativity. This article explores the transformative potential of GenAI, delving into practical examples using ChatGPT, Bard, and v0. It highlights their capabilities in generating UI components, crafting user-friendly interfaces, and providing code generation assistance. While AI tools cannot replace human creativity, they serve as invaluable collaborators, fostering a symbiotic relationship between human ingenuity and machine intelligence. As GenAI continues to evolve, developers can anticipate even more sophisticated tools that further empower front-end development.
As AI continues to become more integrated into frontend development, the role of engineers will shift towards a focus on collaboration and strategy. In this article, I explore the three layers of AI tooling and how they can be used to generate a design system. We also discuss the importance of engineers in controlling the output of these tools, ensuring that it's tailored to the context it's used in and helpful in achieving the desired outcome. Additionally, we touch on the future of frontend development and the opportunities it presents for engineers to focus on higher-level tasks that require critical thinking and decision-making.
