engineering-blogs VS papers-we-love

FYI here is a list of hundreds of engineering blogs: https://github.com/kilimchoi/engineering-blogs

I fancy this currated list of tech blogs but I don't know how to get everything in a rss sort of way. RSS is dead, long live rss? What are our alternatives? Is it worth to make my own scrapper? https://github.com/kilimchoi/engineering-blogs

Engineering Blog List

Have you used the product? Do the challenges they face interest you and are these challenges unique to the company? Do you read their engineering blogs or have you seen them recently on the news?

View on GitHub

kilimchoi/engineering-blogs

"A Note on Distributed Computing" by Jim Waldo, Geoff Wyant, Ann Wollrath, and Sam Kendall (1994) Read the paper This paper explains why distributed objects should not be treated like local objects, challenging the notion that distribution can be transparent.

"Out of the Tar Pit" by Moseley and Marks (2006) Read the paper

I usually look for research papers in well-known conferences. I think you can google the conferences for other fields, but some of them for Programming Languages are SPLASH, ECOOP, PLDI, ICFP. So if you want important new papers, those are the places to look.

Universities often have “seminar” classes and “reading groups” to discuss influential papers, which sometimes includes older ones as well. The discussions are a bit like what this site is trying to accomplish, albeit in-person. Unfortunately the seminars and reading groups themselves aren’t usually public, but some of their websites are (and some past websites are still up) and they post the list of papers.

For PL specifically you can find a lot of notable papers in the history of the r/ProgrammingLanguage subreddit, and there are lists you can google such as https://www.cis.upenn.edu/~bcpierce/courses/670Fall04/GreatW... and https://github.com/imteekay/programming-language-research?ta.... I also found https://github.com/papers-we-love/papers-we-love for more genera computer science papers.

Papers We Love (PWL) is a community built around reading, discussing and learning more about academic computer science papers. This repository serves as a directory of some of the best papers the community can find, bringing together documents scattered across the web. You can also visit the Papers We Love site for more info.

You might find the paper Out of the Tar Pit interesting if you haven't already read it: https://github.com/papers-we-love/papers-we-love/blob/main/d...

The ideas and approaches you talk about evoked some of the concepts from that paper for me. It talks a lot about separating accidental complexity and infrastructure so you can focus only on what is essential to define your solutions.