Agents and harnesses
Design and operate systems that combine model decisions with tools.
- Agent Design Patterns (510)
- Harnesses And Frameworks (4)
- Tool Use And Mcp (36)
- Coding Agents (2)
- Computer And Browser Use (1)
- Multi Agent Systems (2)
555 resources · page 9 of 18
Amp is now available. Here's how I use it.
Creator not supplied; see original source.
Thorsten Ball's notes on how he uses Amp, the coding agent he works on, in daily development.
How to Build an Agent (Amp)
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Amp post by Thorsten Ball showing how to build a code-editing agent in under 400 lines of Go.
Building Effective AI Agents
by Anthropic
Workflows vs agents and the core patterns; argues to start simple. Readable without code.
Best practices for Claude Code
by Anthropic
Concrete coding-agent workflow habits: plan, verify, manage context.
Claude prompt caching docs
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Anthropic documentation on prompt caching: caching prompt prefixes to cut cost and latency, with cache lifetimes.
Claude remote MCP servers
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Anthropic documentation listing remote MCP servers that can be connected to Claude through the MCP connector API.
Transkribus: Automatically transcribing your documents
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Transkribus help article on automatically transcribing documents with text recognition models.
Atlassian Rovo
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Atlassian Rovo product page: AI search, chat and agents across Jira, Confluence and connected work tools.
Augment blog
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Augment Code blog with product updates and engineering posts about its AI coding assistant.
A good AGENTS.md is a model upgrade (Augment Code)
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Augment Code post measuring how AGENTS.md instruction files affect coding-agent output, with guidance on writing them.
What is loop engineering? (Augment Code)
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Augment Code post defining loop engineering, the design of agentic software-development loops from trigger to checked outcome.
AutoGen documentation
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AutoGen documentation: Microsoft's multi-agent conversation framework, now in maintenance mode.
Axolotl docs
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Axolotl documentation: open-source, config-driven tool for fine-tuning and post-training LLMs.
Berkeley Agentic AI (F25)
Creator not supplied; see original source.
Berkeley CS294/194-196 Agentic AI (Fall 2025) course site with lecture schedule and the AgentX competition.
Berkeley CS294 LLM Agents (F24)
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Berkeley CS294/194-196 Large Language Model Agents (Fall 2024) course site with lectures and readings.
Berkeley RDI education hub
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Berkeley RDI education hub indexing its LLM Agents, Advanced LLM Agents and Agentic AI courses.
Bolt: Prompt effectively
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Bolt support guide on prompting effectively: planning first, prompt enhancement and troubleshooting.
Bolt Help Center
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Bolt Help Center: guides for building and publishing websites and apps with the Bolt AI builder.
Braintrust blog
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Braintrust blog on AI evaluation, LLM observability and eval-driven development of AI products.
Agentic Browser Security: Indirect Prompt Injection in Perplexity Comet (Brave)
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Brave post showing indirect prompt injection in Perplexity's Comet browser that exfiltrated email and one-time passwords.
Brave Search API docs
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Brave Search API documentation for querying Brave's independent web search index from applications.
Browserbase blog
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Browserbase blog on headless browser infrastructure for building web-browsing agents.
Building effective agents
Creator not supplied; see original source.
Anthropic post on building effective agents: workflow patterns versus autonomous agents and keeping designs simple.
About Canva MCP (Canva Developers)
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Canva MCP documentation: connecting AI assistants to Canva design capabilities through the Model Context Protocol.
Best practices for Canva MCP
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Canva MCP best practices: building reliable Canva experiences in AI assistant applications.
Write better prompts to maximize your AI allowance (Canva Help)
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Canva Help Center tips on writing prompts for Canva's AI tools for images, video clips and Canva Code.
Canva Developers
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Canva Developers portal with APIs and documentation for building integrations and apps on Canva.
Canva Developers SDK
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Canva Apps SDK documentation for developing apps that run inside the Canva editor.
China Law Translate: AI-generated content labeling measures
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China Law Translate page with the text and English translation of China's 2025 measures for labelling AI-generated content.
Claude Agent SDK overview
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Claude Agent SDK documentation: using Claude Code as a Python or TypeScript library with hooks, subagents, skills and plugins.
Claude Agent Skills docs
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Claude Platform documentation on Agent Skills: packaging instructions, metadata and resources that extend Claude.
Best practices for Claude Code
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Claude Code best practices: configuring the environment, CLAUDE.md, permissions and running parallel sessions.