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AI Agent Swarms: How Orchestrated Groups of Specialized Agents Are Replacing Monolithic AI Models

What is an AI agent swarm? It's a group of specialized AI agents working under an orchestrator that splits tasks, hands off subtasks, and merges results

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startupfortune.com·Business by Flipboard·14h ago·7 min read

Modular prompt transpilation: A build-time approach to scaling AI agent instructions

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Shared by @agentmeter.bsky.social ↗

developers.googleblog.com1d ago

The three loops behind autonomous AI agents: Agent, Task, and Model

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bobbytables.io4d ago

Why AI coding agents hallucinate on large monorepos and how PostgreSQL can help

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Shared by @techglobalfeed.bsky.social ↗

dev.to4d ago

Building Custom Agent Harnesses: A Guide to Connecting AI Models to Real-World Context

Effective agents are built with harnesses that are tightly coupled with the task at hand. The easiest way to build a custom harness is with LangChain's create_agent plus middleware. This guide covers the core agent loop and how you can customize it for yo

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langchain.com·Twitter AI (high signal)·4d ago·6 min read

Building the Modern AI Stack in 2026: Why Compatibility Beats Tool Overload

The Modern AI Stack in 2026: Choosing Compatibility Over Chaos + Video - "Undercode Testing": Monitor hackers like a pro. Get real-time updates, AI-powered

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undercodetesting.com·Business by Flipboard·6d ago·5 min read

A Decision-Tree Framework for Designing AI Agent Memory Strategies

In this article, you will learn how to choose the right memory strategy for an AI agent by working through a simple decision tree, one category of information at a time.

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machinelearningmastery.com·Hacker News: Front Page·7d ago·9 min read

How Knock built an AI agent for customer messaging using bash and a virtual file system

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knock.app9d ago

Authentication token storage in modern web apps: A security-focused analysis of localStorage, cookies, and in-memory approaches

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Shared by @tech-trending.bsky.social ↗

neciudan.dev9d ago

Building Robust AI Agents: Separating Runtime Environment from Code Execution

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fly.io12d ago

Data-Table System Architecture: Schema-Driven Table Generation Guide

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logs.run13d ago

Apache Kafka 4.0 Drops ZooKeeper: A Practical Guide to KRaft Reconfiguration for Java Developers

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Shared by @igfasouza.bsky.social ↗

javacodegeeks.com14d ago

The Browser as a Sandbox: Exploring the Shift in Software Execution and Security

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Shared by @news.karthihegde.dev ↗

aifoc.us15d ago

Beyond the Perfectionism vs. Pragmatism Trade-Off in Software Development

You can have your cake and eat it, as long as you bake it carefully. ‘We can do this the quick way and pay later, or the thorough way and pay now.’ This seems to be a fundamental dichotomy in software development, between ‘perfectionism’ and ‘pragmatism’

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dannorth.net·Hacker News: Front Page·15d ago·27 min read

Five Architectural Patterns for MCP Servers in LLM-Integrated Applications

The Model Context Protocol (MCP), introduced by Anthropic in November 2024, defines a standardized interface for connecting large language models (LLMs) to external tools, data sources, and services. Within months of release, hundreds of community-built M

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arxiv.org17d ago

Loop Engineering: How Automated Agent Loops Are Replacing Manual AI Prompting

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priyankavergadia.substack.com19d ago

Prompt Debt: Why Natural Language Interfaces Create Fragile AI Systems

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dbreunig.com23d ago

A Method for Designing Hybrid Quantum-Classical Software Systems with Quantitative Guarantees

Addressing problems beyond classical computing limits is sparking an increasing interest in Quantum Computing. However, despite their adequacy to address specific problems, quantum algorithms cover a limited subset of the functionality required in real-wo

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Shared by @informaq.bsky.social ↗

arxiv.org24d ago

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AI Agent Swarms: How Orchestrated Groups of Specialized Agents Are Replacing Monolithic AI Models

Modular prompt transpilation: A build-time approach to scaling AI agent instructions

The three loops behind autonomous AI agents: Agent, Task, and Model

Why AI coding agents hallucinate on large monorepos and how PostgreSQL can help

Building Custom Agent Harnesses: A Guide to Connecting AI Models to Real-World Context

Building the Modern AI Stack in 2026: Why Compatibility Beats Tool Overload

A Decision-Tree Framework for Designing AI Agent Memory Strategies

How Knock built an AI agent for customer messaging using bash and a virtual file system

Authentication token storage in modern web apps: A security-focused analysis of localStorage, cookies, and in-memory approaches

Building Robust AI Agents: Separating Runtime Environment from Code Execution

Data-Table System Architecture: Schema-Driven Table Generation Guide

Apache Kafka 4.0 Drops ZooKeeper: A Practical Guide to KRaft Reconfiguration for Java Developers

The Browser as a Sandbox: Exploring the Shift in Software Execution and Security

Beyond the Perfectionism vs. Pragmatism Trade-Off in Software Development

Five Architectural Patterns for MCP Servers in LLM-Integrated Applications

Loop Engineering: How Automated Agent Loops Are Replacing Manual AI Prompting

Prompt Debt: Why Natural Language Interfaces Create Fragile AI Systems

A Method for Designing Hybrid Quantum-Classical Software Systems with Quantitative Guarantees