vgordon
Joined 13 years ago
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39
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20
Member since
May 8
Recent submissions
Comment · 15 days ago
Comment · 5 months ago
The activity-vs-outcome distinction feels like the most interesting part of this discussion. Curious what metrics people have found most useful for separating the two.
Comment · 3 years ago
Very cool and congrats on the launch! Love the MIT license as well.
Can you talk about some of the differences with n8n except for the license?
Comment · 4 years ago
As many readers pointed out, team velocity and process bottlenecks are a much more valuable focal point than individual developer metrics. But for this, having the ability to observe what is happening and dig deeper into the data is critical, so that you can back iterations on your improvement efforts with data.
The research is also slowly laying the foundation of what are useful metrics to track and what excellence looks like for the industry. Unfortunately, those metrics are typically difficult to measure because the underlying data often spans multiple engineering systems: Lead Time, the poster child of DORA metrics, requires data from at least your source control and your CI/CD systems.
Btw, you might be interested in checking out Faros Community Edition: https://github.com/faros-ai/faros-community-edition – an open-source engineering operations platform we’ve been building for this very purpose. Our goal is to bring visibility into engineering operations, and make it very easy to query and leverage data both within and across your systems. It’s container-based and built on top of Airbyte, Hasura, Metabase, dbt, and n8n.
Comment · 13 years ago
That's in my mind is the best strategy. Unfortunately, I had my fair share of busts when I thought I hired great people and turned out to be no more than mediocre. Looking back, I really don't think I could have decide any differently with having only couple of hours worth of interviews as my data. Nothing beats spending real time with the person.
Just wanted to add a nuance about the AI-powered code reviews. They definitely help with the speedup, but they still kick the can down the road, and we still don't really know the long-term impact of 100% AI-generated code reviewed only by AI.
Will be happy to answer any questions about the data or the methodology behind the report.