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开源仓库 ai-agent-interview-guide 整理了 200+ 道 AI Agent 岗位面试题及答案，并附带 Python/Java/Go 三语言版本的企业级实战项目、学习路线图、简历模板和漫画图解，GitHub 已获 3242 星。
A tweet lists key AI engineering concepts such as KV cache and speculative decoding, challenging professionals to explain them clearly for interviews in 2026.
Minko Gechev created a GitHub repository with his organized Google interview prep notes, which has gained over 3,000 stars.
LeetCode Coach is an AI agent that enhances data structures and algorithms intuition and mock interview performance for coding interviews, offering adaptive hints, timed mocks, and personalized study plans.
The article lists 10 GitHub repositories essential for system design, including resources for learning scalable architecture and preparing for technical interviews.
The open-source project system-design-101, created by the ByteByteGo team, simplifies system design interview knowledge points through architecture diagrams, has received 84.1k stars, and is suitable for interview preparation and team training.
A tweet sharing a comprehensive GitHub repository with notes and resources for system design interviews, based on books by Alex Xu, covering various system design topics.
The article is a tweet promoting Donne Martin's System Design Primer, an open-source GitHub repository that provides resources for learning system design and preparing for technical interviews.
A GitHub repo curating real DevOps interview questions, broken pipelines, and Kubernetes challenges for hands-on interview preparation.
A tweet sharing 10 GitHub repositories for mastering Data Structures and Algorithms, including Coding Interview University, The Algorithms, JavaScript Algorithms, and other interview prep resources.
A tweet highlights a GitHub repository containing comprehensive system design interview notes based on Alex Xu's books, covering topics like rate limiting, consistent hashing, key-value stores, and more.
The article provides a detailed breakdown of OpenAI's complete software engineer interview process, analyzing round by round the core evaluation points behind initial screening, coding, system design, take-home projects, and the final interview, and compiles them into a systematic engineer advancement checklist.
JavaGuide is a practical open-source GitHub repository for Java backend interview preparation, covering core Java, system design, and common interview questions.
A tweet highlights a MIT student-compiled PDF known as the 'Quant Bible,' praised as one of the best quant interview resources, with the full version shared in replies.
A detailed overview of Coding Interview University, a free open-source GitHub repository that provides a self-directed 8-month study plan covering data structures, algorithms, and system design to help prepare for technical interviews at major tech companies.
An ML practitioner announces a new series starting July 16th that will explain machine learning from scratch, covering intuition, code, and concepts to help crack interviews and build models, including LLMs and GenAI topics.
A guide to 40 backend concepts organized into six stages, from HTTP basics to system architecture, designed to help engineers prepare for system design interviews.
A tweet from @Franc0Fernand0 advises engineers to master 12 fundamental data structures and algorithms topics before jumping into LeetCode, suggesting one topic per week.
A tweet promoting the CS-Fundamentals GitHub repository that consolidates notes, cheatsheets, and interview questions for DSA, OS, DBMS, SQL, networking, OOPs, and system design to help with placement preparation.
This guide is based on 1765 real job descriptions and actual interview experiences, providing data-driven learning paths, interview preparation, and skill maps for those who want to switch to AI engineering. It is a practical open-source resource.