Pull Requests are probably the commonest way to organise code reviews, but they present problems that get in the way of Continuous Integration. CI is ultimately more important in our goal to create “Better Software Faster” than code reviews, so this is a problem. So what could we do instead? What works better than PRs and bypasses the downsides of delays, asynchronous and box-ticking, low-quality, reviews? Pair programming is one very good option, but there are others that are a better fit for some teams and organisations. So how should we organise code reviews for big companies and small and what makes a good code review?
In this episode, Dave Farley author of “Continuous Delivery” and “Modern Software Engineering” and expert in software development in general, describes what works better than PRs and keeps the changes flowing to keep CI fed. He describes an approach called “Non-Blocking Code Review” and also explores how we can sensibly compare ideas like these without resorting to personal bias.
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🔗 LINKS:
“Optimizing the Software development process for continuous integration and flow of work” ➡️ [ Ссылка ]
“Continuous Code Review” ➡️ [ Ссылка ]
“Non-Blocking Code Reviews”, Thierry De Pauw ➡️ [ Ссылка ]
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BOOKS:
📖 “The DevOps Handbook” Gene Kim, Jez Humble, Patrick Debois & John Willis ➡️ [ Ссылка ]
📖 “State of DevOps Report, 2016" ➡️ [ Ссылка ]
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📖 The original, award-winning "Continuous Delivery" book by Dave Farley and Jez Humble ➡️ [ Ссылка ]
📖 "Continuous Delivery Pipelines" by Dave Farley
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ebook version ➡️ [ Ссылка ]
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CHANNEL SPONSORS:
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Sleuth is the #1 most accurate and actionable DORA metrics tracker for improving engineering efficiency. Sleuth models your entire development cycle by integrating with the tools you already invest in. You get a full and accurate view of your deployments, see where true bottlenecks lie, and keep your team’s unique processes and workflows. With accurate data, Sleuth surfaces insights that your engineers can act on to improve – with real impact. ➡️ [ Ссылка ]
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