# bcefghj/ai-agent-interview-guide

AI Agent 面试全攻略：从零到Offer，包含200+面试题、企业级项目(Python/Java/Go)、简历模板、STAR面试稿、哆啦A梦漫画图解

Repository: https://github.com/bcefghj/ai-agent-interview-guide
Canonical: https://ross.abutalabs.com/products/ai-agent-interview-guide
Language: Python
License: MIT
License Family: permissive
Last push: 2026-04-01T12:38:52+00:00

## Health v2 (maintenance only)
Score: 48/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 75, release rhythm 35, longevity 11
- inputs: {"age_days": 154, "days_push": 154, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2222, forks 224 (observed 2026-08-28T04:06:27.622684+00:00)

## What it is
A comprehensive AI Agent interview preparation guide containing 200+ interview questions with answers, learning roadmaps, resume templates, and STAR-format interview scripts. It also includes enterprise-grade example projects in Python, Java, and Go, plus illustrated comics explaining core Agent concepts.

## Use cases
- prepare for an AI agent engineer interview
- learn AI agent concepts like ReAct, RAG, and multi-agent systems from scratch
- find interview questions and answers on LLM fundamentals and prompt engineering
- get resume templates and STAR interview scripts for AI agent roles
- study a reference enterprise-level agent project in Python, Java, or Go
- understand what big tech companies look for in AI agent job postings

## When to choose
- you are preparing for AI agent or LLM engineering job interviews
- you want a structured zero-to-offer learning path covering agents, RAG, and tool calling
- you need ready-made resume templates and mock interview Q&A for AI roles
- you prefer learning with illustrated comics and multi-language example projects

## When to avoid
- you need production-ready agent framework code rather than study material
- you want up-to-date, peer-reviewed technical documentation instead of interview notes
- you are looking for a runnable library or SDK to build agents with
- you cannot read Chinese, as the content is primarily written in Chinese

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: artificial-intelligence, tutorials, education, large-language-models
- platform: cross-platform, python, jvm, go
- tags: interview-preparation, ai-agents, rag, study-guide, resume-templates, star-method, multi-agent, prompt-engineering, chinese-language, retrieval-augmented-generation

## Member repositories
- bcefghj/ai-agent-interview-guide (main) score 48

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:27.622684+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 2026-08-30T02:45:45.537495+00:00, confidence not recorded.
  - readme: https://github.com/bcefghj/ai-agent-interview-guide (fetched 2026-08-28T04:06:27.622684+00:00, sha 867dbed4cf03)
- Data as of 2026-08-30T08:39:29.467469+00:00.