# break-into-data/ai-engineer-toolkit

Projects & Resources to help you become a better AI Developer.

Repository: https://github.com/break-into-data/ai-engineer-toolkit
Canonical: https://ross.abutalabs.com/products/ai-engineer-toolkit
Language: TypeScript
License Family: other
Last push: 2025-09-15T22:31:21+00:00

## Health v2 (maintenance only)
Score: 39/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 42, release rhythm 35, longevity 39
- inputs: {"age_days": 556, "days_push": 352, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2184, forks 414 (observed 2026-08-28T04:06:23.596807+00:00)

## What it is
A curated toolkit of frameworks, tools, and learning resources for becoming an AI engineer and building production-grade AI applications. It includes fundamentals guides, example sandbox projects, and a categorized directory of model providers, prompt engineering tools, and agent frameworks.

## Use cases
- learn ai engineering from scratch
- find tools to build ai agents
- resources to become an ai developer
- compare llm model providers and frameworks
- example projects for building ai applications
- agent engineering fundamentals tutorial

## When to choose
- you are new to AI engineering and want a guided learning path
- you need a curated directory of AI tools and frameworks
- you want example projects for inspiration before building

## When to avoid
- you need production-ready software rather than a resource list
- you want a maintained library with a license to depend on
- you need deep, up-to-date documentation for a specific tool

## Facets
- artifact type: learning-resource
- maturity: active
- function: agent-framework, rag, prompt-engineering, llm-inference, developer-tools
- domain: artificial-intelligence, large-language-models, tutorials, awesome-lists, developer-tools
- platform: cross-platform, python
- tags: curated-list, ai-engineering, learning-path, bootcamp-resources, tool-directory, ai-agents, typescript

## Member repositories
- break-into-data/ai-engineer-toolkit (main) score 39

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:23.596807+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 2026-08-30T02:48:13.251951+00:00, confidence not recorded.
  - readme: https://github.com/break-into-data/ai-engineer-toolkit (fetched 2026-08-28T04:06:23.596807+00:00, sha 86f62a7ce05c)
- Data as of 2026-08-30T08:39:29.467469+00:00.