Document Engineering Management Weak Development Team 
TechCrunch
MAY 30, 2022
Mintlify , a startup developing software to automate software documentation tasks, today announced that it raised $2.8 CEO Han Wang says that the proceeds will be put toward product development and doubling Mintlify’s core, three-person team by the end of the year. ” Image Credits: Mintlify.
Netlify
JANUARY 5, 2021
I was 8 years into my career as a Software Engineer before I heard the term “Developer Advocacy.” Combining teaching and development sounded like a nice way to progress beyond the coding or engineering management work I was doing at the time. I thought it sounded amazing.
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Hacker Earth Developers Blog
DECEMBER 12, 2024
For recruiters, identifying candidates who excel in communication is criticalnot just for client-facing roles, but for fostering collaboration, solving problems, and driving innovation within teams. Key benefits of communication assessments: Improved hiring accuracy: Ensures candidates fit team dynamics.
Gitprime
MAY 30, 2019
Leaders of distributed engineering teams shouldn’t have to work up solutions to these problems from scratch. So we held a panel discussion with three of today’s top engineering leaders to discuss approaches and lessons learned in building, growing, and maintaining remote and distributed teams. And they mean everything.
James Shore
AUGUST 19, 2024
As we’ve put it into practice, it’s definitely been a lot of work for managers to fill out the spreadsheets. For managers that know their employees well, the work’s been tolerable. mostly a matter of documenting what they already know. For managers that are new to their team, it’s been tough.
Gitprime
AUGUST 15, 2019
As engineering managers and leaders, our job of course is to help our teams deliver value to the organization and its customers. Yet from a higher level, our role is to ensure that both engineers and teams continue to grow and develop. That’s our sprint-by-sprint purpose in a nutshell.
O'Reilly Media - Ideas
MARCH 24, 2020
John Myles White , data scientist and engineering manager at Facebook, wrote: “The biggest risk I see with data science projects is that analyzing data per se is generally a bad thing. Re-analyzing existing data is often very bad.” No other supervision is required!” 69% said “yes” while 31% said “no”.
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