Advanced AI resources
14 resources
Agents and harnesses
Effective harnesses for long-running agents
by Anthropic
Harness design for agents that work across many context windows.
How we built our multi-agent research system
by Anthropic
Real production lessons on orchestrator/sub-agent design and its costs.
Writing effective tools for AI agents
by Anthropic
How to design, evaluate and improve the tools an agent calls.
Context Rot: How Increasing Input Tokens Impacts LLM Performance
by Chroma
Measures how output quality drops as input length grows.
Don't Build Multi-Agents
by Cognition
The counter-argument: context sharing beats splitting work across agents.
Context Engineering for AI Agents: Lessons from Building Manus
by Manus
KV-cache-aware design, file system as memory, keep errors in context.
MCP reference servers
by MCP project
Reference implementations to learn MCP server design from.
OpenHands
Open-source coding-agent platform worth reading as a reference harness.
The lethal trifecta for AI agents
A defensive framework for recognizing risky combinations of agent capabilities and untrusted inputs.
Design Patterns for Securing LLM Agents against Prompt Injections
Summary of a paper's defensive agent architectures.
Prompting
Prompt Engineering
by Lilian Weng
Dense, research-backed survey of prompting methods with citations.
The Prompt Report: A Systematic Survey of Prompt Engineering Techniques
A broad research taxonomy for comparing prompting techniques and finding their sources.
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Sample several reasoning paths and take the majority answer.
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Early research on using worked reasoning examples to improve performance on reasoning tasks.