Build

For engineers and researchers who build AI systems

For builders: Claude Code and agent operations, prompt and context engineering, model APIs, frameworks, evals, and shipping to production.

Claude Code & Agent Engineering

Claude Code DocsThe operating manual: install, CLAUDE.md, skills, hooks, MCP, subagents, headless/CI mode

Claude Agent SDKClaude Code as a library — build your own agents on the same harness and tool set

Building Effective AgentsAnthropic's canonical guide: workflows vs agents, and when you don't need an agent at all

Claude Code Best PracticesAgentic coding patterns from Anthropic engineering: CLAUDE.md tuning, workflows, safety

Agent Skills (Engineering Blog)Why skills beat fine-tuning for repeatable work — the design behind the skills system

Prompt & Context Engineering

Anthropic Prompt EngineeringOfficial techniques: clear instructions, examples, XML tags, chain-of-thought, prefills

Effective Context EngineeringBeyond prompts: managing what an agent sees across long tasks — compaction, memory, tool results

OpenAI Prompt EngineeringOpenAI's official prompting guide for the GPT family

Prompting GuideModel-agnostic prompt engineering techniques, with research citations

Model APIs & Protocols

Claude API DocsMessages API, tool use, structured outputs, prompt caching, batches — see the APIs tab for endpoints

OpenAI API DocsGPT models, images, speech, and the chat/completions format others emulate

Google Gemini APIGemini models via AI Studio, with a generous free tier for prototyping

Model Context ProtocolThe open standard for connecting agents to tools and data — spec, quickstarts, SDKs

Frameworks & SDKs

LangChainBuild LLM-powered applications and graph-based agent workflows (LangGraph)

LlamaIndexRAG pipelines and data connectors for LLM applications

Vercel AI SDKStreaming AI apps with React/Next.js — one interface across providers

Hugging Face TransformersLoad, run, and fine-tune open-weight models in Python

Evals & Reliability

promptfooOpen-source eval harness: test prompts and agents against assertions in CI

LangSmithTracing, evals, and monitoring for LLM applications

BraintrustEval-driven development: score outputs, compare models, catch regressions

Run & Ship

OllamaRun open-weight LLMs locally with one command

vLLM DocsProduction LLM serving — the standard for self-hosting open models at scale

GradioTurn a model or agent into a shareable web demo in minutes

Hugging Face HubModels, datasets, and Spaces — where open AI actually ships

ReplicateRun and deploy ML models behind a simple API