We will analyze the PRs of ~30k developers to see how the size of PRs correlates with lead time, comments received and change failure, to try and find what statistically is the best size, as well as examine what affects it
How running 200 million Lambdas in a year unveiled the agility and ease of serverless, but also revealed their pitfalls — scaling’s promise meets nuanced reality.
Recently I caught up with Nevo David discussing how to get GitHub stars for an upcoming Open Source project and I tried […]
Introduction In the fast-paced world of software development, time is a precious resource. Developers often find themselves juggling multiple tasks, projects, and […]
TLDR: A recent study has shown that the use of emojis can predict the likelihood of remote workers dropping out from online […]
TL;DR There’s a time and place for the DORA framework of measuring developer productivity, but we think it misses too much to […]
Data-driven development – going beyond productivity metrics Metrics are a minefield. Just figuring out what to measure is hard enough, never mind […]
TL;DR Do a team charter Have a vision and mission workshop Have a roles and responsibilities session Work collaboratively on deciding your […]
TL;DR Coding bootcamps are a great way to take you to the next level. The five best coding bootcamps based on customer […]
TL;DR Understand your interviewers via LinkedIn Follow the ‘STAR’ system Be systematic with a person specification grid Practice ‘classic’ questions (we give […]
Adadot Insights 