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SRSuresh Rathodbrandbrahma.hashnode.dev3d ago · 4 min read

Building a Branding Platform on Orchestrated AI Agents, Not a Single Model

Most "AI-powered" branding tools are a single LLM call wrapped in a nice UI: one prompt in, one generic output out. That architecture works fine for a one-off task like "write me five taglines." It fa

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Mmattmezzahumux.hashnode.dev3d ago · 7 min read

Memory Architecture for Long-Running Agents

Most agent frameworks treat memory as a solved problem: embed everything, retrieve the top-k chunks, stuff them into the prompt. This works fine for a chatbot that lives for one session. It falls apar

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Mmattmezzahumux.hashnode.dev3d ago · 7 min read

Skills Over Code: Teaching Agents via Markdown

Every agent framework I’ve used has the same onboarding story: you want the agent to check the weather, so you write a WeatherTool class. You define the input schema. You write the API call. You regis

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ANAlex Nyamburablog.lxmwaniky.meJul 6 · 8 min read

Are We Ready to Hand Over the Pager? The Mechanical vs. Judgment Gap in AI-Driven SRE

I’ve spent the last few weeks intimately familiar with the absolute worst part of systems engineering: the fear of the 3:00 AM PagerDuty call. If you've ever been on an on-call rotation, you know the

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JJubsdreaded-developer.hashnode.devJun 29 · 9 min read

Your Logic Apps Were Already Agentic. You Just Didn't Know It.

I was going through my usual Monday morning routine — coffee, terminal, and the Logic Apps Aviators Newsletter — when the April 2026 drop stopped me cold. "You can now expose any Logic Apps Standard

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MMMarrouchi Mohamedblog.hexabot.aiJun 1 · 15 min read

Why Production AI Needs More Than Prompts and Tools

AI prototypes have become surprisingly easy to build. You write a prompt. You connect an LLM to a few tools. You add access to documents, APIs, or a database. You run a demo. It works. At least, it wo

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JBJordan Bourbonnaisclawpulse.hashnode.devMay 3 · 4 min read

A Practical Guide to Setting Up Your Agentic AI Playground: From Sandbox to Autonomous Workflow

What you'll learn: How to architect a safe, isolated environment for testing agentic AI systems before production deployment The essential components needed to monitor agent behavior and catch failures early Best practices for structuring your playg...

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AFAll For Sciencemidlantics.hashnode.devApr 26 · 6 min read

Agent Infrastructure in 2026: The Builder, the Trust Layer, and the Governance Layer. AI Agent Caging.

Why every production multi-agent system needs three distinct infrastructure concerns addressed — and how Conduit, Codios, and A2A address each one. The agentic AI wave has produced an interesting inf

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IDIvan Davidovidavidov.euApr 20 · 9 min read

AI-Native Workflow: The Operating Manual for Your Agent

Imagine your first day on a new team. The codebase is well organized, the docs are written, the linter is configured. Nobody, however, tells you how this team actually works. Which channel for what, w

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BABrett A McCalldarketype.hashnode.devApr 16 · 4 min read

The context lake

The context lake The problem I've been building the context lake for the team at agent828 — a tactical AI services team of devloper mercenaries who are building agents and tools for better development. The core application of this context lake is an ...

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#agentic

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#agentic

Explore Hashnode

Trending tags this week

Building a Branding Platform on Orchestrated AI Agents, Not a Single Model

Memory Architecture for Long-Running Agents

Skills Over Code: Teaching Agents via Markdown

Are We Ready to Hand Over the Pager? The Mechanical vs. Judgment Gap in AI-Driven SRE

Your Logic Apps Were Already Agentic. You Just Didn't Know It.

Why Production AI Needs More Than Prompts and Tools

A Practical Guide to Setting Up Your Agentic AI Playground: From Sandbox to Autonomous Workflow

Agent Infrastructure in 2026: The Builder, the Trust Layer, and the Governance Layer. AI Agent Caging.

AI-Native Workflow: The Operating Manual for Your Agent

The context lake