# AlgoryL/Projects-from-Scratch

Read and do projects.

Repository: https://github.com/AlgoryL/Projects-from-Scratch
Canonical: https://ross.abutalabs.com/products/projects-from-scratch
License: MIT
License Family: permissive
Last push: 2023-03-26T23:57:01+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": 3483, "days_push": 1256, "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 1950, forks 107 (observed 2026-08-28T04:05:58.075243+00:00)

## What it is
A curated list of resources for building software projects from scratch, covering topics like compilers, interpreters, distributed systems, electronics, and games/graphics. It links to books, tutorials, and guides such as Crafting Interpreters and Handmade Hero.

## Use cases
- find resources to build a compiler from scratch
- learn to write an interpreter step by step
- discover project-based programming tutorials
- build a game engine or ray tracer from scratch
- learn distributed systems by implementing them
- find hands-on learning projects for systems programming

## When to choose
- you want to learn by building things from first principles
- you need a curated index of build-it-yourself tutorials and books
- you are interested in compilers, interpreters, or graphics programming education

## When to avoid
- you need production-ready software or libraries
- you want a structured course with exercises and grading rather than a link list
- you need up-to-date content, as the list has not seen recent releases

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: tutorials, awesome-lists, education, programming-languages, compilers, developer-tools
- platform: cross-platform
- tags: curated-list, build-from-scratch, project-based-learning, compilers, interpreters, distributed-systems, graphics, self-learning, game-development

## Member repositories
- AlgoryL/Projects-from-Scratch (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:58.075243+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 2026-08-30T03:06:51.210234+00:00, confidence not recorded.
  - readme: https://github.com/AlgoryL/Projects-from-Scratch (fetched 2026-08-28T04:05:58.075243+00:00, sha 59f65b4082a2)
- Data as of 2026-08-30T08:39:29.467469+00:00.