The novel, set in 1327, follows Adso of Melk, a young Benedictine novice, and William of Baskerville, a Franciscan friar, as they investigate a series of murders at an abbey in northern Italy. The story is framed by a complex narrative structure and involves debates on theology, science, and politics. The abbey's labyrinthine library, which houses a forbidden book, is central to the mystery. As the investigation unfolds, William and Adso uncover a conspiracy related to the library and a hidden manuscript that could undermine religious and societal order[2][3][5].
This book provides a concise introduction to deep learning, targeting readers with a STEM background. It covers foundational concepts such as machine learning, efficient computation, and training, including topics like GPUs, TPUs, tensors, losses, and model architectures. The book assumes some background knowledge in deep learning and is particularly useful for intermediate to advanced AI engineers looking for a compact guide to the different concepts in the deep learning area.
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In today’s episode of The Pragmatic Engineer, I’m joined by Sean Goedecke, Staff Software Engineer at GitHub. Sean is widely known for his viral blog post, “How I ship projects at big tech companies.” In our conversation, he shares how to successfully deliver projects in large tech companies.
Drawing from his experiences at GitHub and Zendesk, Sean reflects on key lessons learned, and we discuss the following topics:
• Why shipping cannot exclude keeping management happy
• How to work on stuff the company actually values
• Why you should take on extra responsibility to get projects done
• Why technical skills are still more important than soft skills
• Soft skills you should learn: including learning the “management lingo”
• First-hand remote work learnings: advantages, disadvantages, and how to thrive in this setup
• … and much more!
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Timestamps
(00:00) Intro
(01:50) An explanation of shipping
(05:35) Reasons management may choose to ship something customers don’t love
(09:20) A humbling learning from Sean’s time at Zendesk
(13:27) The importance of learning which rules need to be broken for good business outcomes
(15:28) Common obstacles to shipping
(18:13) DRI: Directly responsible individual
(23:06) The value of strong technical skills and why moving fast is imperative
(28:44) How to leverage your technical skills the right way
(32:16) Advice on earning the trust of leadership
(36:10) A time Gergely shipped a product for a political reason
(38:30) What GenAI helps software engineers do more easily
(41:08) Sean’s thoughts on GenAI making engineers more ambitious
(43:20) The difficulty of building AI tools
(46:10) Advantages of working remotely and strategies for making it work
(52:34) Who is best suited to remote work
(54:48) How the pandemic provided a remote work trial for Sean
(56:45) Rapid fire round
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The Pragmatic Engineer deepdives relevant for this episode:
• Software Engineers Leading Projects https://newsletter.pragmaticengineer.com/p/engineers-leading-projects
• Shipping to production https://newsletter.pragmaticengineer.com/p/shipping-to-production
• Paying down tech debt https://newsletter.pragmaticengineer.com/p/paying-down-tech-debt
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See the transcript and other references from the episode at https://newsletter.pragmaticengineer.com/podcast
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Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@pragmaticengineer.com.
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