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The End of Programming as We Know It

O'Reilly

Theres a lot of chatter in the media that software developers will soon lose their jobs to AI. It is not the end of programming. It is the end of programming as we know it today. Assembly language programming then put an end to that. Betty Jean Jennings and Frances Bilas (right) program the ENIAC in 1946.

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Break the bias: International Women’s Day 2022

Dynatrace

We launched a career mentorship program, a guest speaker series, and an EMEA chapter of women. Our own members formed an engineering committee and strive to educate our members in new ways. Kayan Hales, Manager of Technical Product Specialists in Dynatrace One, presented on AWS with the help of Twinkle Joshi, Software Engineer.

Education 245
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Scaling Appsec at Netflix (Part 2)

The Netflix TechBlog

including bug bounty, pentesting, PSIRT (product security incident response), security reviews, and developer security education?—?via a dynamic Asset Inventory that understands the nuances of our bespoke engineering ecosystem and how our applications and data relate to each other. via a shared on-call rotation.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. This approach is not novel.

DevOps 145
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What Adrian Did Next?—?Part 1?—?Starting Out

Adrian Cockcroft

He’d programmed in the 1960s and encouraged me to learn. Hatfield Polytechnic installed what was at the time “the largest educational computer in Europe” in 1970, a DECsystem 10. Software was written in Motorola 6800 assembler, using a PDP-11 running Unix V6 as a development platform.

C++ 98
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AI for everyone - How companies can benefit from the advance of machine learning

All Things Distributed

For the past 20 years, thousands of software engineers at Amazon have been working on ML. For example programming interfaces that developers can use to analyze images, change text into true-to-life language or create chatbots. Machine learning in education, medicine and development aid. Machine Leaning at Amazon.

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O’Reilly serverless survey 2019: Concerns, what works, and what to expect

O'Reilly

More than a fifth of the respondents work in the software industry—skewing results toward the concerns of software companies, and helping explain the preponderance of those with software engineering roles. As noted earlier, the majority of survey respondents are software engineers.