# amilajack/reading

A list of computer-science readings I recommend

Repository: https://github.com/amilajack/reading
Canonical: https://ross.abutalabs.com/products/reading
License: MIT
License Family: permissive
Topics: reading, science, academia, research, computer-science, compiler, type-system, concurrency, parallel-computing, operating-system, static-analysis, garbage-collection
Last push: 2022-08-30T18:41:46+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3470, "days_push": 1464, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3635, forks 780 (observed 2026-08-28T04:08:12.702046+00:00)

## What it is
A curated list of recommended computer-science readings covering topics like algorithms, compilers, type systems, concurrency, and operating systems. It is a simple reference repository of links rather than executable software.

## Use cases
- find classic papers on garbage collection
- reading list for learning compiler design
- resources to study type systems
- learn about concurrency and parallel programming
- recommended readings on operating systems
- discover static analysis literature

## When to choose
- you want a curated, opinionated reading list for core CS topics
- you are self-studying systems topics like compilers, OS, or concurrency
- you want paper recommendations similar to papers-we-love

## When to avoid
- you need interactive tutorials or courses rather than paper links
- you need up-to-date coverage of modern ML or web topics
- you expect maintained tooling or code

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: compilers, operating-systems, tutorials
- platform: cross-platform
- tags: reading-list, papers, curated-list, awesome-list, computer-science-education, computer-science, algorithms

## Member repositories
- amilajack/reading (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:12.702046+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:31:50.542387+00:00, confidence not recorded.
  - readme: https://github.com/amilajack/reading (fetched 2026-08-28T04:08:12.702046+00:00, sha d14da7fd6235)
- Data as of 2026-08-30T08:39:29.467469+00:00.