"Looks Good to Me"

Deliver code reviews that consistently build up your team and improve your applications. “Looks Good to Me” offers a unique approach to delivering meaningful code reviews that goes beyond superficial checklists and tense critical conversations. Instead, you’ll learn how to improve both your applications and your team dynamics. “Looks Good to Me” teaches you how to: Understand a code review's benefits proactively prevent loopholes and bottlenecks Co-create an objective code review system Clarify responsibilities: author, reviewer, team lead/manager, and the team itself Establish manageable guidelines and protocols Align with your team and explicitly document the policies they will follow Automate code quality with linting, formatting, static analysis, and automated testing Compose effective comments for any situation Consider combining code reviews with pair programming or mob programming AI for code reviews Inside “Looks Good to Me” you’ll find comprehensive coverage of every part of the code review process, from choosing a system to keeping reviews manageable for everyone involved. With this mix of tools, processes, common sense, and compassion, you’ll run a highly effective review process from first commit to final deployment. Foreword by Scott Hanselman. About the technology Transform code reviews into the positive, productive experiences they’re meant to be! Whether it’s your code under the microscope or you’re the one giving the feedback, this sensible guide will help you avoid the tense debates, fruitless nitpicking, and unnecessary bottlenecks you’ve come to expect from code reviews. About the book “Looks Good to Me” teaches the considerate, common sense approach to code reviews pioneered by author Adrienne Braganza. You’ll learn how to create a cohesive team…