# loganthorneloe/ai-for-software-engineers

AI foundations for software engineers.

Repository: https://github.com/loganthorneloe/ai-for-software-engineers
Canonical: https://ross.abutalabs.com/products/ai-for-software-engineers
Homepage: http://learn.aiforswes.com
License: MIT
License Family: permissive
Topics: artificial-intelligence, guides, machine-learning, software, roadmap, deep-learning
Last push: 2026-08-26T12:51:07+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 70
- inputs: {"age_days": 980, "days_push": 7, "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 1367, forks 163 (observed 2026-08-28T04:04:31.472754+00:00)

## What it is
A curated learning roadmap of books, videos, and resources for software engineers to build foundational AI, ML, and LLM knowledge. It is organized into sections covering general engineering judgment, ML foundations, LLMs, and AI engineering practices.

## Use cases
- learn machine learning as a software engineer
- find a roadmap to understand AI fundamentals
- best resources to learn how LLMs work
- transition from software engineering to AI engineering
- curated list of AI learning books and videos
- understand transformer architecture from scratch

## When to choose
- you are a programmer wanting a structured, opinionated path into AI and ML
- you prefer curated links to books and video series over scattered searching
- you want coverage from math foundations through LLMs and engineering practice

## When to avoid
- you need hands-on code, exercises, or a runnable course rather than a resource list
- you are a complete beginner with no programming experience
- you need formal academic coursework or certification

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: artificial-intelligence, machine-learning, deep-learning, large-language-models, tutorials, awesome-lists
- platform: -
- tags: curated-guide, roadmap, llm, software-engineers, reading-list, web-server

## Member repositories
- loganthorneloe/ai-for-software-engineers (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:31.472754+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 2026-08-30T04:41:08.062399+00:00, confidence not recorded.
  - readme: https://github.com/loganthorneloe/ai-for-software-engineers (fetched 2026-08-28T04:04:31.472754+00:00, sha 12bd42e88dae)
  - homepage: http://learn.aiforswes.com (fetched 2026-08-29T11:58:33.732898+00:00, sha 00d4e3b6bfcc)
- Data as of 2026-08-30T08:39:29.467469+00:00.