ZZyVOPOct 13 · 11 min readRun AI Agents Like Containers: A Deep Dive into Docker AgentTL;DR Docker Agent (docker-agent, invoked as docker agent) is an open-source, Apache-2.0 runtime written in Go that turns a declarative YAML file into a working AI agent, or a whole team of them. It1blog.zyvop.com
JJayesh SojitraOct 13 · 4 min readMulti-AZ vs Multi-Region: What Each Actually Protects AgainstBoth terms get used as if they were two settings on the same dial. They're not. They cover different kinds of failure, and picking one without knowing which failure you're guarding against leads to eijayesh-sojitra.hashnode.dev
IInternals DecodedOct 8 · 15 min readMulti-Agent Orchestration: Managers, Workers, and PipelinesThroughout the AI System Design series we follow Mailmind, a fictional AI email assistant that reads an inbox, triages messages, and drafts replies. It is our running example. In Part 1 you saw how ainternals-decoded.hashnode.dev
JJason VertreesSep 18 · 7 min readResolving a Council of Independent AI Reviewers into a Single DecisionRunning multiple frontier LLMs in parallel to evaluate prompt pipelines, codebases, or architectures is straightforward. The hard part is reconciling their outputs. When three independent agents—such 11Mjvertrees.hashnode.dev
AAlookAug 31 · 8 min readHow AI Agent Coordination and Orchestration WorkMore agents do not fix a vague workflow. Each step still needs an owner, a handoff artifact, a visible failure state, and a point where a person decides what happens next. AI agent coordination is how11Oalook.hashnode.dev
ZZyVOPAug 28 · 11 min readThe Developers Who Got Fired Built an AI CEO to Replace Their BossesOpen Executive shot up the Hacker News front page with a premise that sounds like a joke: developers who say they lost their jobs during an “AI transformation” built an open-source system designed to blog.zyvop.com
AAlookAug 28 · 9 min read7 Practical Workflow Patterns for AI Agent TeamsA useful agent workflow is not a room full of bots improvising. It is a reviewable process with defined inputs, outputs, permissions, and a safe place to stop. Here are seven patterns developers and malook.hashnode.dev
SSai Sandeep KantareddyAug 12 · 10 min readStart Deterministic: Design Principles for Routers and Orchestrators in Multi-Agent SystemsI learned this lesson the practical way: by building agentic systems, watching them work, watching them fail, and then slowly realizing that “more agents” is not the same thing as “more intelligence.”12AKtokenbytoken.hashnode.dev
JJoselo MartinezJul 20 · 3 min readLLMs and Tokens Beyond the Hype: Why Smaller Models Might Be the Better Architectural ChoiceWhen we choose and LLM, our first instinct is to pick the newest and largest model available. It's smarter, more capable, and tops every benchmark leaderboard. But is this an architectural desition? designednotmagic.hashnode.dev
YYuvraj SinghJul 19 · 9 min readBuilding My First Multi-Agent App Builder with LangGraphI have been working extensively with AI since 2023. Over the last few years, I have built applications using provider APIs, written prompts that could qualify as short essays, worked on context enginetechwithyuvi.hashnode.dev
