AI Engineering
Chip HuyenBuilding applications with foundation models: evaluation, prompt engineering, RAG, agents, latency, and cost trade-offs.
Open resourceWorking library
Read, build,
verify
Books, open guides, standards, and benchmarks for designing and evaluating AI coding agents.
Suggest a resourceA working shelf rather than an endless link list—from agent-system design to reproducible result verification.
Books and engineering guides
深入理解 AI Agent
Bo Jie LiAn open book on AI-agent design: planning, memory, tools, multi-agent systems, and engineering practice.
Open resourceEverything Claude Code
Affaan MustafaSkills, security practices, memory, and research-first workflows for Claude Code, Codex, Cursor, and other harnesses.
Open resourceArchitecture and standards
Building Effective Agents
AnthropicWhen to use workflows versus agents, with routing, parallelization, orchestrator-workers, and evaluator-optimizer patterns.
Open resourceAgents guide
OpenAIOfficial guidance for agents, tools, orchestration, tracing, and safety controls.
Open resourceModel Context Protocol
MCPThe protocol specification for connecting AI applications to data, tools, and external systems.
Open resourceCoding-agent evaluation
SWE-bench
Princeton NLPReal GitHub issues and repositories for testing whether models can resolve software-engineering tasks with reproducible evaluation.
Open resourceHow we verify ‘done’
VOLY ResearchOur metrics, compared architectures, and protocol from agent report to accepted change.
Open resource