
On an organisation level, the data we've gathered helps our teams move forward in a better way by having additional information and signals to facilitate delivery.
From an engineering perspective, we can help identify team productivity bottlenecks and areas most expensive to maintain, support onboarding with knowledge maps of a system or domain, assist with off boarding by identifying the areas in need of knowledge transfer, help to maintain standards and more.
CodeScene can be deployed into a continuous integration pipeline and can integrate with a git repository to automatically analyse pull requests and identify high-risk commits. The analysis can help engineers who are less experienced with the code base review high impact code changes and catch potential problems before they are delivered to the main branch of the code base.
Identifying delivery risks before they become an issue if also a beneficial signal from a product engineering team perspective. A possible scenario involves a project that involves understanding and adapting an area which contains a lot of hotspots and complex code for a team built of mostly new engineers. Using these tools allows better visibility, questions and delivery estimates.
Having this real world information up-front from an onboarding perspective for a EM, HoE, VP and CTO role is also something not to be quickly dismissed.
We not only want to identify our technical debt, but help prioritise what should be fixed and track this over time. Or from a different angle, identify what we don't need to focus on fixing and instead accept our technical debt as the impact is low, therefore the value is likely low. Review collected by and hosted on G2.com.
The interfaces can be a bit clunky at times, there is a level of onboarding needed in terms of where everything is and sadly, it does not integrate with our ticketing tool for delivery reporting (Linear). All quite minor things though. Review collected by and hosted on G2.com.
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