# cmuratori/computer_enhance

Source code for the https://computerenhance.com programming series

Repository: https://github.com/cmuratori/computer_enhance
Canonical: https://ross.abutalabs.com/products/computer_enhance
Language: C++
License: NOASSERTION
License Family: other
Last push: 2026-08-31T20:50:40+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 8, longevity 93
- inputs: {"age_days": 1310, "days_push": 2, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1010, forks 227 (observed 2026-09-01T02:14:00.435134+00:00)

## What it is
Companion source code repository for the Computer Enhance programming series by Casey Muratori. It contains the C++ code examples and exercises accompanying the paid course, which focuses on performance-oriented programming and low-level computer architecture.

## Use cases
- learn performance-oriented programming
- study x86-64 assembly from scratch
- understand how CPUs execute code
- follow along with the computer enhance course
- learn low-level optimization techniques
- practice writing fast C++ code

## When to choose
- you are following the Computer Enhance video series and need the exercise code
- you want hands-on C++ examples for learning performance programming and assembly

## When to avoid
- you want a ready-to-use library or tool rather than course materials
- you have not purchased or accessed the accompanying course content

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: programming-languages, tutorials, performance, education
- platform: cross-platform, cpp
- tags: performance-programming, casey-muratori, course-materials, low-level-programming, x86-assembly

## Member repositories
- cmuratori/computer_enhance (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-09-01T02:14:00.435134+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 2026-08-30T07:12:45.811771+00:00, confidence not recorded.
  - readme: https://github.com/cmuratori/computer_enhance (fetched 2026-09-01T02:14:00.435134+00:00, sha 1f0fad63131d)
- Data as of 2026-08-30T08:39:29.467469+00:00.