A structured knowledge base designed for backend engineers transitioning to AI Agent roles, this repository consolidates scattered notes into a review-friendly format. It targets individuals aiming for AI Agent/Large Model application engineering positions, offering a systematic approach to interview preparation across AI, backend systems, system design, algorithms, and project articulation, thereby accelerating the learning curve and deepening understanding.

How It Works

The repository reorganizes interview preparation materials into a structured directory system, emphasizing core Q&A sections (01_核心问答.md) within each topic. It provides recommended review paths, such as "Route A" for backend engineers moving into AI Agents, guiding users through specific topics like AI fundamentals, backend essentials, system design, and project expression. This approach facilitates systematic learning, oral presentation practice, and in-depth exploration of interview topics.

Quick Start & Requirements

This repository primarily contains documentation and study materials, not executable code. There are no installation or runtime requirements. Users are directed to start with docs/interview_prep/README.md for an overview and navigation.

Highlighted Details

• AI Agent Focus: Covers Agent fundamentals, workflow/multi-agent systems, RAG, context engineering, model tuning, evaluation, security, and engineering practices.
• Backend Essentials: Includes core backend topics such as MySQL, Redis, Kafka, concurrency, caching, service governance, and distributed transactions.
• System Design: Addresses capacity estimation, high-concurrency architectures, caching, message queues, search/recommendation, transaction/risk control, and large-scale storage.
• Algorithm Practice: Organizes LeetCode high-frequency problems by type (e.g., arrays, linked lists, dynamic programming) for focused practice.
• Project Expression: Provides guidance and examples for articulating projects, handling scenario-based follow-up questions, and discussing business architecture.

Maintenance & Community

The content is continuously being organized and updated, with plans to supplement more comprehensive anonymized project examples and topic Q&As. A "friend link" to LINUX DO is provided.

Licensing & Compatibility

Documentation content is licensed under CC BY-NC 4.0, permitting redistribution, excerpting, adaptation, and reorganization with attribution and license links. Commercial distribution, sales, or use in training camp materials are prohibited. Separate code directories, if added, will have their own declarations.

Limitations & Caveats

The repository is a work in progress, with content still being organized. It is designed for systematic review rather than direct, fragmented "question sea" grinding. Specific details on code licensing are deferred to potential future code directories.