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A 10,000-word guide sharing the learning path to becoming an Agent engineer, covering LLM fundamentals, Prompt Engineering, RAG, Agent applications, and backend engineering. Includes supporting learning materials, project requirements, and acceptance criteria to help readers systematically fill in their AI application development skills.
一位 AI 视频代理后端工程师分享如何修复模型路由问题：通过规则过滤加评分，避免代理在 1000+ 视频模型中自信却错误地选择不兼容的模型。
An engineer built a complete production backend for a university LMS in just 12 days by managing a fleet of AI agents, demonstrating how AI can transform software development by enabling one person to function as a full engineering team.
A Principal Engineer at Atlassian shares a completed 25-day Twitter thread series on system design scaling fundamentals, compiled into a single resource.
This blog post describes the architecture for a scalable ingestion pipeline using Temporal to handle crawling, extracting, chunking, and embedding customer documentation from various sources, emphasizing durability, statefulness, and concurrency control.
The article analyzes the scalability limitations of using PostgreSQL as a job queue, specifically highlighting performance bottlenecks caused by MultiXact SLRU contention under high concurrency. It explains why this architecture fails in production despite working well in development and suggests considering alternatives.
An OpenAI backend engineer shares their personal journey into programming and describes their work maintaining and optimizing OpenAI's large-scale supercomputing clusters used for AI model training. The post highlights the complexity and scale of infrastructure challenges encountered at OpenAI.