How to lazy load MCPs to save context capacity with agent skills
Load MCP tools into your context window only when you use them
Tutorial Article
Summary
The article shows how to build a lightweight code‑editing AI agent in Go using the Anthropic LLM API, fitting the implementation into under 400 lines of mostly boilerplate code.
Highlights
- Implementation fits in fewer than 400 lines of Go
- Simple loop manages LLM interaction and state
- Tool use via structured prompts interpreted by the agent
- Can be adapted to other LLM providers
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Context
Audience
Developers interested in creating AI‑driven code assistants with Go and large language models
DomainArtificial Intelligence
Formatweb article
Accessfree online
Topics
Related
Go programming languageAnthropic Claude APILLM agent design patternsCode generation tutorials