PulseAugur
EN
LIVE 05:43:52
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

Developer builds AI agent in Go using LangChainGo and GigaChat

By PulseAugur Editorial · [1 sources] ·

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

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 →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer builds AI agent in Go using LangChainGo and GigaChat

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
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]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
138 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

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:// …

    LINKS habr.com/…/1033718

RELATED ENTITIES

RELATED TOPICS