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Show GN: Spring IVE 1.5 — Slack에서 코드 맥락 아는 에이전트와 대화, 바이브코딩 작업 이력 관리, 사람+AI 비...
<p>GitLab/GitHub 이슈를 Claude·Gemini·Codex·OpenCode 같은 AI CLI 에이전트가<br /> 자동으로 감지해 코드 작성 후 MR/PR까지 만들어주는 웹 대시보드, Spring IVE의<br /> 1.5 버전을 출시했습니다. 이번에 추가된 기능들을 공유합니다.</p> <h3>Slack 통…
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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…
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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.
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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…
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Holo3.1: 빠르고 로컬인 컴퓨터 사용 에이전트
Holo3.1: Fast & Local Computer Use Agents
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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.
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LLM을 넘어서: 확장 가능한 엔터프라이즈 AI 도입이 에이전트 로직에 의존하는 이유
Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic
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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.
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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…
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LangSmith 엔진 구축 방법: 에이전트 개선을 위한 우리의 에이전트
https://www.langchain.com/blog/how-we-built-langsmith-engine-our-agent-for-improving-agents
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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
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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. …
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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.
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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.
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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.
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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.
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하네스, 스캐폴드, 그리고 올바르게 알아야 할 AI 에이전트 용어들
Harness, Scaffold, and the AI Agent Terms Worth Getting Right
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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
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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
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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.
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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
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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"
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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.
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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.
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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.
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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
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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.
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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.
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AI 에이전트란 무엇인가?
What is an AI agent?
Introducing a new series of musings on AI agents, called "In the Loop".
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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…