#ai-agents

에이전트 개발 라이프사이클: AI 에이전트 구축, 테스트, 배포 및 모니터링 | LangChain

The Agent Development Lifecycle: Build, Test, Deploy & Monitor AI Agents | LangChain

Learn how leading engineering teams ship AI agents reliably and repeatedly using a four-phase agent development lifecycle: Build, Test, Deploy, and Monitor. Includes guidance on ev…

루브릭 소개: 자신의 작업을 평가하고 수정하는 에이전트 구축

Introducing Rubrics: Build Agents that Evaluate and Correct Their Work

Deep Agents' RubricMiddleware adds a self-evaluation loop to your agent runs. Set a rubric, configure a grader, and get reliable outputs on tasks where correctness matters.

GitHub의 에이전트 계획

GitHub's plan for Agents — Kyle Daigle, GitHub

GitHub pioneered the modern AI coding era with Copilot, and the resulting explosion in agentic coding has led to notable strains on the most popular developer platform in the world…

Holo3.1: 빠르고 로컬인 컴퓨터 사용 에이전트

Holo3.1: Fast & Local Computer Use Agents

Rippling이 Deep Agents와 LangSmith로 6개월 만에 프로덕션 AI를 구축한 방법

How Rippling built production AI in 6 months with Deep Agents and LangSmith

Rippling uses LangChain Deep Agents and LangSmith to run cross-domain AI across HR, IT, finance, payroll, and global operations.

LLM을 넘어서: 확장 가능한 엔터프라이즈 AI 도입이 에이전트 로직에 의존하는 이유

Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic

인터프리터 스킬: 에이전트를 위한 워크플로우 구축

Interpreter Skills: Building Workflows for Agents

Interpreter skills extend agent skills with a TypeScript module the agent can import and run. This lets you build more capable workflows with your agents.

LangSmith 샌드박스가 정식 출시되었습니다

LangSmith Sandboxes are Generally Available

Run AI agents safely with LangSmith Sandboxes (GA): kernel-isolated microVMs with snapshots, parallel forks, service URLs, and auth proxies. Built for coding agents, CI agents, and…

LangSmith 엔진 구축 방법: 에이전트 개선을 위한 우리의 에이전트

https://www.langchain.com/blog/how-we-built-langsmith-engine-our-agent-for-improving-agents

비동기 에이전트의 시대 — Cognition의 Walden Yan & OpenInspect의 Cole Murray

The Age of Async Agents — Cognition's Walden Yan & OpenInspect's Cole Murray

80% Devin Commits, Spec-to-PR Workflows, Full VMs, Agent Memory, and PMs Shipping Code

2026년 4월: LangChain 뉴스레터

April 2026: LangChain Newsletter

April means we're officially counting down to Interrupt. We’ve got two more meetups on the agent improvement loop before April officially closes out in New York and San Francisco. …

프로덕션 에이전트 실패 수정: Interrupt 2026 회고 | LangChain 뉴스레터

Fixing agent failures in production: Interrupt 2026 recap | LangChain Newsletter

Recapping two days of Interrupt 2026 — LangSmith Engine, Sandboxes GA, LangChain Labs, and 23 talks from teams at LinkedIn, Rippling, Cisco, and more. Now on demand.

Endava가 Codex로 에이전틱 조직을 구축하는 방법

How Endava builds an agentic organization with Codex | OpenAI

Learn how Endava uses Codex to build an agentic organization, accelerating software delivery and reducing requirements analysis from weeks to hours.

Lyft가 LangGraph와 LangSmith로 구축한 자체 서빙 AI 에이전트 플랫폼

How Lyft Built a Self-Serve AI Agent Platform with LangGraph and LangSmith

Lyft used LangGraph and LangSmith to build a self-serve AI agent platform for customer support, cutting agent development from months to weeks.

Codex를 활용한 자체 개선 세금 에이전트 구축

Building self-improving tax agents with Codex | OpenAI

See how OpenAI, Thrive, and Crete built a self-improving tax agent with Codex, automating filings, improving accuracy, and accelerating workflows.

하네스, 스캐폴드, 그리고 올바르게 알아야 할 AI 에이전트 용어들

Harness, Scaffold, and the AI Agent Terms Worth Getting Right

모든 모델 랩이 에이전트 랩으로 변하다

[AINews] All Model Labs are now Agent Labs - Latent.Space

a quiet day lets us tie together a few quotes as all model labs become agent labs

에이전트에게 컴퓨터를 제공하다 — Ivan Burazin, Daytona

Giving Agents Computers — Ivan Burazin, Daytona

We chat with Daytona's CEO about their insane 74% MoM Growth, 850K Daily Runs, Bare Metal Sandboxes, RL Evals, and the New Agent Cloud

에이전트 하네스의 해부

The Anatomy of an Agent Harness

Learn how agent harnesses transform AI models into autonomous work engines. Explore core components: filesystems, sandboxes, and memory.

레일웨이: 에이전트-네이티브 클라우드 — 제이크 쿠퍼

Railway: The Agent-Native Cloud — Jake Cooper

3M Users, 100K Signups/Week, Own-Metal Data Centers, $200K+ Coding Agent Spend, and the Death of PRs

구글 검색의 I/O 2026 업데이트: AI 에이전트 등

Google Search’s I/O 2026 updates: AI agents and more

Text that reads "The best of a search engine with the best of AI"

LangChain Labs 소개

Introducing LangChain Labs

LangChain Labs is a new applied research effort focused on continual learning for agents, with partners advancing open research on self-improving AI systems.

Databricks, 엔터프라이즈 에이전트 워크플로우에 GPT-5.5 도입

Databricks brings GPT-5.5 to enterprise agent workflows | OpenAI

Databricks uses GPT-5.5 for enterprise agent workflows after the model set a new state of the art on the OfficeQA Pro benchmark.

LangSmith Context Hub 소개

Introducing LangSmith Context Hub

Introducing Context Hub in LangSmith: a central place to store, version, and collaborate on the files that shape how your AI agents behave.

딥 에이전트, LangSmith, 병렬 처리를 사용한 회사 실사 에이전트 구축

https://www.langchain.com/blog/building-a-company-due-diligence-agent-with-deep-agents-langsmith-and-parallel

Open SWE: 내부 코딩 에이전트를 위한 오픈소스 프레임워크

Open SWE: An Open-Source Framework for Internal Coding Agents

Built on Deep Agents and LangGraph, Open SWE provides the core architectural components for internal coding agents.

Interrupt 2026: 엔터프라이즈 규모의 에이전트

Previewing Interrupt 2026: Agents at Enterprise Scale

This year, we're doing it again. Interrupt 2026 is May 13–14 at The Midway in San Francisco, and the lineup, the format, and the scale have all leveled up.

AI 에이전트란 무엇인가?

What is an AI agent?

Introducing a new series of musings on AI agents, called "In the Loop".

에이전틱 엔지니어링: AI 에이전트 스웜이 소프트웨어 엔지니어링을 재정의하는 방법

Agentic Engineering: How Swarms of AI Agents Are Redefining Software Engineering

Multi-agent systems that mirror real engineering teams — not just code faster — can cut debug time by 93% and compress cross-team delivery. Here's the architecture built on LangGra…

NVIDIA Nemotron 3 Nano Omni 소개: 문서, 오디오, 비디오 에이전트를 위한 장문맥 멀티모달 지능

Introducing NVIDIA Nemotron 3 Nano Omni: Long-Context Multimodal Intelligence for Documents, Audio and Video Agents