The Architecture of Open Source Applications (Volume 1) Berkeley DB(aosabook.org)

81 points by grep_it 8 months ago | 10 comments

Antifragility in complex dynamical systems(nature.com)

161 points by RafelMri 2 years ago | 87 comments

Build systems a la carte: theory and practice (2020)(simon.peytonjones.org)

78 points by transpute 2 years ago | 14 comments

The Computational Theory of Mind (2015)(plato.stanford.edu)

60 points by cyanregiment 2 months ago | 45 comments

The Sciences of the Artificial by Herbert Simon(direct.mit.edu)

46 points by dedalus 2 years ago | 8 comments

The Epistemology of Microphysics(edwardfeser.com)

39 points by danielam 7 months ago | 26 comments

The future of software development is software developers(codemanship.wordpress.com)

376 points by cdrnsf 10 months ago | 471 comments

A Codemanship blog post arguing that the future of software development still depends on human software developers.

LLM architecture comparison(magazine.sebastianraschka.com)

357 points by mdp2021 1 year ago | 23 comments

Sebastian Raschka's Ahead of AI article comparing the architectures of modern LLMs, from DeepSeek-V3 to Kimi K2.

Writing a C compiler in 500 lines of Python(vgel.me)

454 points by vgel 3 years ago | 142 comments

Blog post by vgel describing the design and architecture of a small C compiler written in about 500 lines of Python.

Alonzo Church: Architect of computer intelligence(onepercentrule.substack.com)

318 points by drcwpl 2 years ago | 81 comments

A Substack essay profiling logician Alonzo Church and his solution to the Entscheidungsproblem as a foundational contribution to computer science.

Most people prefer traditional architecture(worksinprogress.news)

332 points by alihm 1 month ago | 285 comments

A Works in Progress newsletter essay by Samuel Hughes arguing that people broadly agree in preferring traditional architecture over modern styles.

The new skill in AI is not prompting, it's context engineering(philschmid.de)

832 points by robotswantdata 1 year ago | 467 comments

Blog post by Philipp Schmid arguing that context engineering, supplying LLMs with the right information and tools, matters more than prompting for AI agents.