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PPartharpsarathy.hashnode.dev2d ago · 7 min read

Multi-Agent AI Is a Distributed Systems Problem

A single AI agent can be surprisingly simple: a model, a prompt, perhaps retrieval, tools, and a memory store. It can look convincing in a demo. The difficulty changes when a product adds more agents.

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RJRodrigo Juarezrodrigojuarez.hashnode.dev3d ago · 5 min read

The Relay Was Me: Automating a Conversation Between Claude Code and Codex

Claude Code had produced an audit of the finance domain in a project I'm working on. I asked Codex to review it, then carried the response back to Claude Code. After a few rounds, the problem was obvi

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M8Marketing 8080AI8080ai.hashnode.dev5d ago · 6 min read

Internal Tools and the Architecture-First Case for AI App Builders

Every engineering org has a category of software it never quite gets to. Not the product that has a roadmap and a budget. It's the layer underneath: the vendor renewal spreadsheet, the approval chain

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BKBibek Kakatibibekkakati.hashnode.dev6d ago · 11 min read

Building a Multi-Agent AI Pipeline with Mastra and TypeScript

Building an AI feature is easy. Building a reliable multi-agent pipeline that coordinates four specialized AI agents, persists intermediate state, skips already-completed work on retries, and keeps th

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RSRajath Shanbhagavghumans.hashnode.devAug 16 · 25 min read

The Conductor Pattern - Making a Multi - Agent Pipeline Stop Falling Over

𝘐𝘴𝘴𝘶𝘦 #04 | 𝘛𝘢𝘨𝘴: 𝘮𝘶𝘭𝘵𝘪-𝘢𝘨𝘦𝘯𝘵 𝘴𝘺𝘴𝘵𝘦𝘮𝘴, 𝘰𝘳𝘤𝘩𝘦𝘴𝘵𝘳𝘢𝘵𝘪𝘰𝘯, 𝘥𝘶𝘳𝘢𝘣𝘭𝘦 𝘦𝘹𝘦𝘤𝘶𝘵𝘪𝘰𝘯, 𝘛𝘦𝘮𝘱𝘰𝘳𝘢𝘭, 𝘳𝘦𝘭𝘪𝘢𝘣𝘪𝘭𝘪𝘵𝘺, 𝘰𝘣𝘴𝘦𝘳𝘷𝘢𝘣𝘪𝘭𝘪𝘵𝘺, 𝘓

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KNKartik N V J Kkartiknvjk.hashnode.devAug 11 · 11 min read

How I evaluate AutoGen agents: the handoff is the unit

Here is the run that reset how I test multi-agent teams. A three-agent AutoGen team scores 0.91 on task completion in CI. The researcher cites its sources correctly. The critic flags two weak claims.

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TTThorin Tabortmtabor.hashnode.devAug 4 · 16 min read

Orchestrator, planner, six specialists: a multi-agent pipeline that survived production

It's five o'clock on a Wednesday, and I have twelve tabs open across two monitors. Four of them are Google searches. One is a Biostars thread from a few months back that I've had bookmarked for three

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ANAatir Nadimtechtom.hashnode.devJul 23 · 12 min read

Multi-Agent Orchestration: Deep Dive Into BYOA

The evolution of generative AI has shifted the spotlight from scaling individual model parameters to engineering robust orchestration frameworks. While a single, highly capable model can perform basic

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VKVamsi Krishnablog.vamsiannamreddy.comJul 18 · 3 min read

Day 56: Why evaluating the model is not enough

Every component passed its tests. The system still failed the user. The researcher retrieved correct facts: pass. The writer produced clean prose: pass. The handoff between them dropped the one constr

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VKVamsi Krishnablog.vamsiannamreddy.comJul 17 · 3 min read

Day 54: Why multi-agent systems need decision rules

Agent A says approve it. Agent B says block it. What does your system do? If you cannot answer instantly, the real answer is "whatever happens to happen", and undefined conflicts still resolve. They r

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#multi-agent

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#multi-agent

Explore Hashnode

Trending tags this week

Multi-Agent AI Is a Distributed Systems Problem

The Relay Was Me: Automating a Conversation Between Claude Code and Codex

Internal Tools and the Architecture-First Case for AI App Builders

Building a Multi-Agent AI Pipeline with Mastra and TypeScript

The Conductor Pattern - Making a Multi - Agent Pipeline Stop Falling Over

How I evaluate AutoGen agents: the handoff is the unit

Orchestrator, planner, six specialists: a multi-agent pipeline that survived production

Multi-Agent Orchestration: Deep Dive Into BYOA

Day 56: Why evaluating the model is not enough

Day 54: Why multi-agent systems need decision rules