Pipeline Triad Pattern: конвейер AI-агентов вместо команды разработки

Один AI-агент может закрывать работу одного специалиста. Следующий шаг - собрать из таких агентов конвейер. Pipeline Triad Pattern - это модель enterprise-разработки, где каждый этап SDLC проходит через тройку ролей: Создатель, Критик, Арбитр. Не один “суперагент”, а цепочка специализированных троек с человеческим контролем в нескольких ключевых точках. Рассказываю, как устроен такой конвейер, чем он отличается от CI/CD, сколько стоит и где у него реальные пределы. Создатель + Критик + Арбитр

https://habr.com/ru/articles/1023554/

#aiагенты #multiagent_systems #llm #devops #devsecops #sdlc #code_review #orchestration #enterpriseразработка #pipeline_triad

Pipeline Triad Pattern: конвейер AI-агентов вместо команды разработки

Pipeline Triad Pattern: конвейер AI-агентов вместо команды разработки TL;DR Pipeline Triad Pattern - это не один AI-агент, а конвейер троек: Создатель, Критик и Арбитр. Каждая тройка закрывает свой...

Хабр
*That's some really dense, hard-core "Agentic" jargon, especially considering that it was written by a Chinese guy. #harness #toolservers #simulators #execution #sandboxes #orchestration justinlin610.github.io/blog/

Writing - Junyang Lin
Writing - Junyang Lin

Essays by Junyang Lin on language models, multimodal systems, agentic learning, and reinforcement-learning infrastructure.

When does an agent loop stop being simple iteration and start acting like a control tower for your AI system? This piece digs into that turning point ✈️

Read More: https://zalt.me/blog/2026/04/agent-loop-control-tower

#AIagents #orchestration #softwaredesign

Akshay (@akshay_pachaar)

AI 에이전트를 이해하는 간단한 틀을 제시한다. LLM은 추론, 도구는 행동, 메모리는 컨텍스트, 오케스트레이션은 반복 루프이며, 이 마지막 요소가 단순 구성요소를 에이전트로 만든다고 설명한다.

https://x.com/akshay_pachaar/status/2042337198960419066

#aiagents #llm #orchestration #memory #tools

Akshay 🚀 (@akshay_pachaar) on X

A simple way to think about AI agents: LLM = reasoning Tools = actions Memory = context Orchestration = the loop The first three are components. The last one is what makes them an agent.

X (formerly Twitter)

Try to handle that, Claude!

#orchestration #AI #human_in_the_loop #beer

Agentic Systems

Notes and resources on building and operating agentic AI systems, covering orchestration frameworks, task routing, memory, and evaluation approaches that extend baseline LLM capabi(...)

#agents #ai #orchestration

https://taoofmac.com/space/ai/agentic?utm_content=atom&utm_source=mastodon&utm_medium=social

When your engine has a single brain, how do you keep it from collapsing under its own weight? This explores what happens when one place runs the whole show.

Read More: https://zalt.me/blog/2026/04/engine-single-brain

#software #architecture #engines #orchestration

Most teams focus on container runtimes, not the control plane. Daemon Orchestration at Container Scale digs into how the daemon actually keeps fleets in line.

Read More: https://zalt.me/blog/2026/04/daemon-orchestration-scale

#containers #orchestration #devops #infrastructure

🚀 #Google has graced us with #Scion, an #experimental testbed for #agent #orchestration. Because what the world really needs is *another* half-baked #tech project that only a gaggle of PhDs will pretend to understand. 🤡 If you'd like to be bombarded with #buzzwords while your inbox fills with the soothing cacophony of #newsletters, this one's for you. 📬
https://www.infoq.com/news/2026/04/google-agent-testbed-scion/ #HackerNews #ngated
Google Open Sources Experimental Multi-Agent Orchestration Testbed Scion

Designed to manage concurrent agents running in containers across local and remote compute, Scion is an experimental orchestration testbed that enables developers to run groups of specialized agents w

InfoQ
Google Open Sources Experimental Multi-Agent Orchestration Testbed Scion

Designed to manage concurrent agents running in containers across local and remote compute, Scion is an experimental orchestration testbed that enables developers to run groups of specialized agents w

InfoQ