HackerNews Readings
40,000 HackerNews book recommendations identified using NLP and deep learning

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Modern Operating Systems

Andrew Tanenbaum and Herbert Bos

4.3 on Amazon

5 HN comments

The Bitcoin Standard: The Decentralized Alternative to Central Banking

Saifedean Ammous, James Fouhey, et al.

4.7 on Amazon

5 HN comments

Thinking in Systems: A Primer

Donella H. Meadows and Diana Wright

4.6 on Amazon

5 HN comments

A World Without Email: Reimagining Work in an Age of Communication Overload

Cal Newport, Kevin R. Free, et al.

4.5 on Amazon

5 HN comments

Software Design for Flexibility: How to Avoid Programming Yourself into a Corner

Chris Hanson and Gerald Jay Sussman

4.3 on Amazon

4 HN comments

Domain-Driven Design: Tackling Complexity in the Heart of Software

Eric Evans

4.6 on Amazon

4 HN comments

This Is How They Tell Me the World Ends: The Cyberweapons Arms Race

Nicole Perlroth

4.6 on Amazon

4 HN comments

Software Engineering

Ian Sommerville

4.3 on Amazon

4 HN comments

Fluent Python: Clear, Concise, and Effective Programming

Luciano Ramalho

4.6 on Amazon

4 HN comments

Test Driven Development: By Example

Kent Beck

4.4 on Amazon

4 HN comments

Compilers: Principles, Techniques, and Tools

Alfred Aho, Monica Lam, et al.

4.1 on Amazon

4 HN comments

The Everything Store: Jeff Bezos and the Age of Amazon

Brad Stone, Pete Larkin, et al.

4.6 on Amazon

3 HN comments

Bitcoin: Hard Money You Can't F*ck With: Why Bitcoin Will Be the Next Global Reserve Currency

Jason A. Williams and Jessica Walker

4.8 on Amazon

3 HN comments

Sandworm: A New Era of Cyberwar and the Hunt for the Kremlin's Most Dangerous Hackers

Andy Greenberg, Mark Bramhall, et al.

4.7 on Amazon

3 HN comments

Programming: Principles and Practice Using C++ (2nd Edition)

Bjarne Stroustrup

4.5 on Amazon

3 HN comments

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clumsysmurfonJuly 19, 2021

Two books about to be published in this genre which I am excited about:

(1) Software Development Pearls: Lessons from Fifty Years of Software Experience (Karl Weigers). I enjoyed his books on Requirements and Software Engineering Culture

This zinger really applies to my work place "Lesson #7. The cost of recording knowledge is small compared to the cost of acquiring knowledge"

(2) Code That Fits in Your Head: Heuristics for Software Engineering (Mark Seemann). His previous book on Dependency Injection was good

dwheeleronJuly 22, 2021

Yes. That first paper is Boehm, Barry W., "Software Engineering", IEEE Transactions on Computers, December 1976, pp. 1226-1241, vol. 25
DOI Bookmark: 10.1109/TC.1976.1674590, https://www.computer.org/csdl/journal/tc/1976/12/01674590/13... At the time Barry W. Boehm was at the TRW Systems and Energy Group.

The Boehm paper says "Fig. 3 shows a summary of current experience at IBM[4], GTE[5], and TRW on the relative cost of correcting software errors as a function of the phase in which they are corrected." and indeed figure 3 (page 1228) shows exponential growth. It only shows averages or ranges for each data source, and that's a legitimate critique. That said, it does show them for multiple companies, and then presents a trend line that plausibly follows from the data provided. Boehm has a good reputation, I expect that this really was a reasonable observation from real data.

It's legitimate to question whether or not that is still true. Computer "science" is notorious for having almost no science - experiments are almost non-existent. I would love to see this & many other experiments conducted to see what's true today.

SwizeconJuly 19, 2021

Or read the first and second paragraph?

> When I first picked up Software Engineering at Google I thought it was another one of those FAANG books full of lessons that make no sense at human scale. I was surprised, the lessons apply to teams as small as 5.

> This is a "good shit stays" recap. The lessons that stick with you a few weeks after reading.

ruraljuroronApr 19, 2021

> If you see those things as "the boring bits" that you don't want to do then you're not a developer. You're a hacker.

This point parallels the distinction made in the Software Engineering at Google flamingo book between programming and engineering. Engineering comprises the tools and processes to maintain software over time (this is a rough paraphrase), of which docs, for example, is essential.

So to use their language with your point: this sounds purely like programming and perhaps not engineering.

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