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DevOps Engineers Featured The ultimate NCT mini eBook Get the complete scoop on NCTs, a new-age goal-setting framework.
Engineering Managers Featured How to have effective 1:1 meetings with your engineering team? Engineering managers can harness the power of 1:1 meetings to build trust, provide feedback, support development, and align expectations with their direct reports. This comprehensive guide shares best practices and tips for having effective one-on-one meetings with your engineering team.
Engineering Managers Featured Pull request best practices in 2024 Want to ensure clear reviews and improve code quality? You can do so by adopting these pull request best practices!
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Engineering Leadership Developer experience: What is it and why is it important? Discover the significance of developer experience (DX), elements of good DX, and effective metrics to measure and enhance developer satisfaction.
Engineering OKRs Engineering OKRs: A comprehensive guide for engineering leaders Want to know what's the secret sauce behind a highly efficient engineering team? The answer lies in leveraging the power of Engineering OKRs (Objectives and Key Results). This framework can transform your team's approach to work and catapult your projects to success.
Engineering Metrics Engineering Metrics That Matter in 2023 The success of metrics in driving engineering productivity is undeniable. But are you confused about which ones you should have in your arsenal? This article will help you with just that.
Lead Time Cycle Time vs. Lead Time in software development Cycle time vs. lead time: how different are they, and what can you achieve by tracking both metrics?
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Engineering Managers Engineering manager responsibilities: What you need to know If you’re an engineer looking to solidify a position in management or you've just begun your journey as an engineering manager, you’re probably wondering what makes a great engineering manager.
Project Managers What are DORA metrics and why do you need them? DORA metrics are used by software teams to measure engineering performance and make data-based decisions about improving engineering processes and outcomes.