- I Grilled Another Agent Candidate: 46-Minute Mock Interview
A 46-minute 1v1 Agent engineer mock interview: deep-diving two personal projects, plus RAG, Agent evaluation, Skills, MCP, prefix caching, and Q&A.
34 min read - For Everyone Who Wants Into Agents But Doesn't Know Where
Joye's Agent Engineer Onboarding Guide v1.0: what an Agent is, why now, how to start, and how to land a job — for anyone who wants in but doesn't know where.
43 min read - A 1h19m Agent Engineer Mock Interview: What We Asked
An 80-minute mock interview with a dev pivoting to Agent work. Every question, his answers, our feedback, and how I would have answered.
36 min read - A Sophomore Intern's Field Guide to Agent Dev Interviews
After interviewing nearly 10 AI startups, what Agent-role interviews actually test, and the things that matter a hundred times more than memorizing answers.
19 min read - FeedForward: The Transformer's Other Half Beyond Attention
A deep dive into the FeedForward network and how RMSNorm, RoPE, Attention, and FeedForward assemble into a complete Transformer Block.
16 min read - Understanding Attention: From Q, K, V to Multi-Head
A deep dive into Attention, the Transformer's core engine: grasp Q, K, V via a database-query analogy, master Multi-Head, and clear up Softmax vs RMSNorm.
13 min read - RoPE: From Permutation Invariance to Multi-Frequency
A deep dive into RoPE (Rotary Position Embedding), the standard position encoding for modern LLMs: the math, the engineering, and floating-point precision.
12 min read - Why Transformers Need Normalization: Gradients to RMSNorm
A deep dive into why deep neural networks need normalization, and how RMSNorm became standard in modern LLMs
9 min read