Building LLM Agents from Scratch: A Deep Dive with Go, Claude API, and AWS

infrastructure #agent 📝 Blog|Analyzed: Mar 31, 2026 15:00•

Published: Mar 31, 2026 13:30

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1 min read

Analysis

This article details the creation of an LLM Agent, 'Nemuri', designed to generate code and create GitHub PRs using Discord commands. The project's unique approach involves building the agent directly with Go and the Claude API, showcasing a streamlined architecture perfect for simpler agent loops.

Key Takeaways

•The project 'Nemuri' builds a code-generating agent using Go and Claude API, directly interacting with Discord and GitHub.
•The architecture emphasizes a serverless design, using ECS Fargate and Lambda functions for cost efficiency.
•The focus on direct API calls over frameworks highlights a lean approach suitable for specific agent structures.

Reference / Citation

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"The reason for not using frameworks was that Nemuri's agent loop has a simple structure of '1 agent executing 2 phases sequentially + review loop', and there was no situation where frameworks like LangChain or CrewAI would be effective."

Zenn ClaudeMar 31, 2026 13:30

* Cited for critical analysis under Article 32.

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