Engineering teams operate as black boxes to leadership, making it impossible to prove productivity, identify bottlenecks, or make data-driven improvements. Coderbuds solves this by automatically transforming your GitHub data into clear DORA metrics and team performance insights. Get instant visibility into deployment frequency, lead times, pull request patterns, and delivery bottlenecks without disrupting your team's workflow. Engineering managers finally have the data they need for executive reporting, while teams get actionable insights to actually improve their velocity and reliability.
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LinearB is recommended for software development teams, engineering managers, and project managers who want to improve visibility into their development processes, reduce cycle times, and boost overall productivity. It's particularly useful for teams that rely on agile methodologies and need to continuously monitor and improve their workflow efficiency.
Based on our record, LinearB seems to be more popular. It has been mentiond 26 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
LinearB is a SaaS solution that retrieves metrics overtime, some of them being used to calculate DORA Metrics. They also have a Youtube channel that advocate for DORA Metrics and more. - Source: dev.to / over 1 year ago
In helping engineering orgs get visibility into developer workflows with LinearB, Dan Lines and Ori Keren discovered that the majority of cycle time was being spent in pull request and code review. They found that:. - Source: dev.to / about 2 years ago
LinearB and there are a few cheaper alternatives. Ties in DORA metrics from gut repos and agile project management tools like JIRA. https://linearb.io. Source: over 2 years ago
You can also try these alternatives - LinearB, Jellyfish. Source: over 2 years ago
Some recommended dashboard tools that you can try: Jellyfish, Typo, LinearB. Source: over 2 years ago
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