May 2022 Summaries

Change Lead Time is a DORA metric that measures the time taken from when a developer starts writing code for a feature or change to when that change is released to end users. It can be broken down into three stages: coding, code review, and deployment. By measuring Change Lead Time spent overall and in individual stages, teams can gain insights into their processes and identify areas for improvement. Key strategies to improve Change Lead Time include automating testing, using ephemeral environments, reducing review lag, and implementing canary releases. It's crucial not to skimp on accuracy when tracking this metric and to focus on improving the entire system rather than individual metrics alone.

Sleuth, an AI-based platform that helps teams track and improve engineering efficiency, has raised $22 million in Series A funding led by Felicis Ventures. The company aims to provide accurate metrics for measuring engineering efficiency and the tools needed to improve it. Founded by Dylan Etkin, Michael Chan, and Don Goodman-Wilson, Sleuth is a remote-first, fully distributed team that focuses on integrating with existing tools and automating workflows to help teams discover bottlenecks and improve their efficiency. The company plans to use the funding to expand its offerings and grow its team.