PulseAugur
LIVE 03:47:04
tool · [1 source] · · Русский(RU) От LLM к агенту: Как заставить Go приложение думать и действовать Всё началось с доклада про AI-агентов. Заинтересовало настолько, что решил написать своего на
0
tool

Developer builds AI agent in Go using LangChainGo and GigaChat

A developer shares their experience building an AI agent in Go, inspired by a talk on AI agents. The project involved creating a custom agent using LangChainGo, integrating tools, and connecting with GigaChat. The process was challenging but ultimately successful, with the developer sharing their insights on the implementation. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Provides a practical guide for developers on integrating LLMs into applications using Go and specific tools.

RANK_REASON Developer shares technical insights and experience building an AI agent, akin to a technical blog post or tutorial. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 Русский(RU) · [email protected] ·

    From LLM to Agent: How to Make a Go Application Think and Act It all started with a report on AI agents. It was so interesting that I decided to write my own on

    От LLM к агенту: Как заставить Go приложение думать и действовать Всё началось с доклада про AI-агентов. Заинтересовало настолько, что решил написать своего на Go. Было сложно, но получилось! Делюсь опытом: LangChainGo, инструменты, цепочки, MCP и интеграция с GigaChat. https:// …