Book Engineering Management Weak Development Team 
O'Reilly Media - Data
APRIL 11, 2018
The two positions are not interchangeable—and misperceptions of their roles can hurt teams and compromise productivity. It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data.
James Shore
JANUARY 10, 2025
Kent Beck concluded , Measure developer productivity? My favorite discussion of the topic is Robert Austins, who wrote Measuring and Managing Performance in Organizations. He says a measurement based approach generates relatively weak improvements and significant distortion of incentives. Not possible. Lets dig in.
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Honeycomb
AUGUST 19, 2022
Or, the small crisis with engineering management. In 2018, Honeycomb co-founder & CTO Charity Majors wrote a blog post titled, “An Engineer’s Bill of Rights (and Responsibilities).” These constraints incentivized managers to think hard about how to retain and grow their best senior engineers. This is good.
Hacker Earth Developers Blog
JULY 28, 2023
Assess the personality strengths and weaknesses of the candidate to understand whether they can execute responsibilities in the long run or not. Technical skills By analyzing technical skills, you’ll be able to understand if the engineering candidate fits the role or not. This makes evaluating the engineer a painful process.
Hacker Earth Developers Blog
JANUARY 30, 2023
Hough is a Web2 and Web3 software engineer, AWS Community Builder, host of the Tech Stack Playbook YouTube channel/podcast, a 5-time global hackathon winner, and a tech content creator with 10k+ followers. Rado: Engineering managers should be able to do “more-with-less” in the coming year.
Apiumhub
AUGUST 29, 2023
Welcome to the third and last part of our Talks With Software Development Experts series. As we have mentioned before, this initiative is a section where we interview software engineers and industry experts to learn more about their professions, efforts, hobbies, and perspectives on a variety of tech-related issues. Check them out!
O'Reilly Media - Ideas
JULY 28, 2020
The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.
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