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
auto-generated
via Amp
Context
Audience
Developers interested in creating AI‑driven code assistants with Go and large language models
Go programming languageAnthropic Claude APILLM agent design patternsCode generation tutorials
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