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- Issue #560
Issue #560
Essential Reading For Engineering Leaders
Tuesday 22nd October’s issue is presented by Datadog
See inside any stack, any app, at any scale, anywhere with Datadog’s intuitive, real-time observability and security platform.
Enable end-to-end visibility into cloud applications with effortless deployment, minimal maintenance, and an unparalleled breadth of coverage.
— Dave Kellogg
tl;dr: “I have two rules for organization design: (1) Design for conflict. Specifically, design your organization for the conflicts you want to hear about. (2) Ensure value-add. Don’t put thing B under thing A unless the executive in charge can add value to both.”
Leadership Management OrgDesign
— Péter Szász
tl;dr: “As we’re entering the last quarter of the year, the time has come when many tech companies start their yearly feedback cycles, providing formal feedback on the performance of their employees. While time-consuming, if done well, this is a great tool for Engineering Managers to make a difference in the professional life of their reports, so to help, I summarized what I’ve learned about this process during my career.”
Leadership Management
tl;dr: Learn about the current and future states of AI, ML, and LLMs on Google Cloud. This guide distills the top 7 insights and actions from a fireside chat with Google’s Director of AI, Dr. Ali Arsanjani, and Datadog’s VP of Engineering, Sajid Mehmood. It covers everything from upskilling teams to observability best practices to help technical teams keep pace with the rapid advancements in AI.
Promoted by Datadog
Management Observability AI
tl;dr: “Companies that resist title inflation gain a significant competitive edge. By maintaining meaningful titles, they attract and retain top talent who value authentic growth over inflated roles. This leads to more accurate hiring, improved team dynamics, and enhanced productivity. Realistic titles also foster trust, both internally and with clients, positioning the company as a beacon of integrity in the industry.”
ThoughPiece
“People buy into the leader before they buy into the vision.”
— Joaquim Rocha
tl;dr: “Over the years, my work did sometimes involve maintaining forks of various open-source projects. That’s not the case with my job now, but when a colleague reached out for help with a fork that hadn’t been rebased in ages, it got me thinking that the steps I follow might be useful for other developers too. Hence this article.”
Guide BestPractices Git
tl;dr: Learn about the current and future states of AI, ML, and LLMs on Google Cloud. This guide distills the top 7 insights and actions from a fireside chat with Google’s Director of AI, Dr. Ali Arsanjani, and Datadog’s VP of Engineering, Sajid Mehmood. It covers everything from upskilling teams to observability best practices to help technical teams keep pace with the rapid advancements in AI.
Promoted by Datadog
Management Observability AI
— Salvatore Sanfilippo
tl;dr: “In this post I analyze Redis comments, trying to categorize them. Along the way I try to show why, in my opinion, writing comments is of paramount importance in order to produce good code, that is maintainable in the long run and understandable by others and by the authors during modifications and debugging activities.”
Guide BestPractices
— Dennis Nerush
tl;dr: “Over the years, I’ve read more than 200 books on leadership, productivity, and management; some have stood out more than others. Whether you’re a seasoned manager or just starting your leadership journey, these 10 books have shaped my thinking and approach in significant ways.”
Books
— Addy Osmani
tl;dr: “A feature I'm particularly excited about is the AI's ability to prototype fixes. It can suggest changes to your styles and DOM structure, which are then reflected in the Changes panel. This allows you to experiment with solutions in real-time, without the fear of breaking your codebase.”
DevTools AI
Most Popular From Last Issue
Manage Your Priorities And Energy — Will Larson
Notable Links
Drasi: Simplifies detecting changes in data.
Papermark: OS DocSend alternative.
Phidata: Build AI Agents with memory, knowledge, tools and reasoning.
Tolgee: OS localization platform.
Wireit: Upgrade your npm scripts to make them more efficient.
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