# agent orchestration

Published articles for agent orchestration.

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## 6 principles for using Grok Bot

DevFeed: [6 principles for using Grok Bot](<https://devfeed.tech/articles/6-principles-for-using-grok-bot-30025.md>)

Original publisher: [Read original article](<https://www.augmentedswe.com/p/principles-for-using-grok-bot>)

Author: Jeff Morhous

Published: 2026-09-15T10:46:18Z

Content type: tutorial

Language: en

Sources: [The AI-Augmented Engineer](<https://devfeed.tech/sources/the-ai-augmented-engineer.md>)

Topics: [agent orchestration](<https://devfeed.tech/topics/agent-orchestration.md>), [Tool](<https://devfeed.tech/topics/tool.md>), [Bot](<https://devfeed.tech/topics/bot.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agent-orchestration](<https://devfeed.tech/tags/agent-orchestration.md>), [tool](<https://devfeed.tech/tags/tool.md>)

### AI overview

The article presents six principles for using Grok Bot and describes Grok Bot as a general agent orchestration tool. The supplied evidence does not provide the individual principles.

### Source excerpt

Grok Bot is a great general agent orchestration tool, if you know how to use it right

## How I turned Claude into a self-improving PM assistant | Daniel Blum (PM, Melio)

DevFeed: [How I turned Claude into a self-improving PM assistant | Daniel Blum (PM, Melio)](<https://devfeed.tech/articles/how-i-turned-claude-into-a-self-improving-pm-assistant-daniel-blum-pm-melio-40022.md>)

Original publisher: [Read original article](<https://www.lennysnewsletter.com/p/how-i-turned-claude-into-a-self-improving>)

Author: Claire Vo

Published: 2026-08-31T12:04:18Z

Content type: article

Language: en

Sources: [Lenny's Newsletter](<https://devfeed.tech/sources/lenny-s-newsletter.md>)

Topics: [Claude](<https://devfeed.tech/topics/claude.md>), [Notion](<https://devfeed.tech/topics/notion.md>), [Slack](<https://devfeed.tech/topics/slack.md>), [email](<https://devfeed.tech/topics/email.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Automation](<https://devfeed.tech/topics/automation.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [User experience (UX)](<https://devfeed.tech/topics/ux.md>)

Tags: [agent-orchestration](<https://devfeed.tech/tags/agent-orchestration.md>), [automation](<https://devfeed.tech/tags/automation.md>), [claude](<https://devfeed.tech/tags/claude.md>), [email](<https://devfeed.tech/tags/email.md>), [notion](<https://devfeed.tech/tags/notion.md>), [slack](<https://devfeed.tech/tags/slack.md>), [ux](<https://devfeed.tech/tags/ux.md>)

### AI overview

A podcast episode in which Daniel Blum explains how he uses Claude and Cowork to manage Notion, Slack, and email workflows, automate weekly preparation, learn internal terminology, and identify improvements to his system. He also discusses scaling the setup to Melio's PM team and the remaining limitations.

### Source excerpt

Listen now | 🎙 PM Daniel Blum walks through the exact Cowork and Claude setup that manages his Notion, tracks his tasks across Slack and email, and self-improves every week without him lifting a finger

## Parallel agent orchestration is compatible with deep work

DevFeed: [Parallel agent orchestration is compatible with deep work](<https://devfeed.tech/articles/parallel-agent-orchestration-is-compatible-with-deep-work-30010.md>)

Original publisher: [Read original article](<https://www.augmentedswe.com/p/ai-deep-work>)

Author: Jeff Morhous

Published: 2026-08-03T10:21:16Z

Content type: opinion

Language: en

Sources: [The AI-Augmented Engineer](<https://devfeed.tech/sources/the-ai-augmented-engineer.md>)

Topics: [agent orchestration](<https://devfeed.tech/topics/agent-orchestration.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Cosmos](<https://devfeed.tech/topics/cosmos.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agent-orchestration](<https://devfeed.tech/tags/agent-orchestration.md>), [ai](<https://devfeed.tech/tags/ai.md>), [claude](<https://devfeed.tech/tags/claude.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [codex](<https://devfeed.tech/tags/codex.md>), [cosmos](<https://devfeed.tech/tags/cosmos.md>), [parallel](<https://devfeed.tech/tags/parallel.md>)

### AI overview

The author argues that AI agents can be managed in parallel as background tasks while preserving focused attention for complex design and decision-making. They recommend delegating routine implementation, while keeping nuanced architectural thinking with humans.

### Source excerpt

Agent orchestration is making me rethink how I work

## Multi Agent Systems for Platform Engineering, Patterns and Architecture

DevFeed: [Multi Agent Systems for Platform Engineering, Patterns and Architecture](<https://devfeed.tech/articles/multi-agent-systems-for-platform-engineering-patterns-and-architecture-17487.md>)

Original publisher: [Read original article](<https://kodekloud.com/blog/multi-agent-systems-platform-engineering-patterns/>)

Author: Pramodh Kumar M

Published: 2026-07-26T16:16:42Z

Content type: tutorial

Language: en

Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More](<https://devfeed.tech/sources/kubernetes-kodekloud-blog-devops-cloud-kubernetes-ai-tutorials-more.md>)

Topics: [Platform Engineering](<https://devfeed.tech/topics/platform-engineering.md>), [distributed-systems](<https://devfeed.tech/topics/distributed-systems.md>), [systems](<https://devfeed.tech/topics/systems.md>), [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [Provisioning](<https://devfeed.tech/topics/provisioning.md>)

Tags: [a2a-protocol](<https://devfeed.tech/tags/a2a-protocol.md>), [agent](<https://devfeed.tech/tags/agent.md>), [agent-orchestration](<https://devfeed.tech/tags/agent-orchestration.md>), [agent-to-agent-communication](<https://devfeed.tech/tags/agent-to-agent-communication.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [audit-trail](<https://devfeed.tech/tags/audit-trail.md>), [automation](<https://devfeed.tech/tags/automation.md>), [devops](<https://devfeed.tech/tags/devops.md>), [distributed-systems](<https://devfeed.tech/tags/distributed-systems.md>), [hierarchical-agent-systems](<https://devfeed.tech/tags/hierarchical-agent-systems.md>), [internal-developer-platform-automation](<https://devfeed.tech/tags/internal-developer-platform-automation.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [langgraph](<https://devfeed.tech/tags/langgraph.md>), [langgraph-multi-agent](<https://devfeed.tech/tags/langgraph-multi-agent.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [mcp-for-platform-engineering](<https://devfeed.tech/tags/mcp-for-platform-engineering.md>), [multi-agent](<https://devfeed.tech/tags/multi-agent.md>), [multi-agent-architecture-patterns](<https://devfeed.tech/tags/multi-agent-architecture-patterns.md>), [multi-agent-systems](<https://devfeed.tech/tags/multi-agent-systems.md>), [multi-agent-systems-for-platform-engineering](<https://devfeed.tech/tags/multi-agent-systems-for-platform-engineering.md>), [platform-engineering](<https://devfeed.tech/tags/platform-engineering.md>), [platform-engineering-automation](<https://devfeed.tech/tags/platform-engineering-automation.md>), [provisioning](<https://devfeed.tech/tags/provisioning.md>), [supervisor-agent-pattern](<https://devfeed.tech/tags/supervisor-agent-pattern.md>)

### AI overview

A practical guide to designing multi-agent systems for platform engineering. It compares supervisor, pipeline, fan-out, hierarchical, and swarm patterns; explains how agent contracts, identity boundaries, audit trails, and verification address common failure modes; and distinguishes MCP from A2A.

### Source excerpt

Studies of real agent systems put failure rates between 41 and 86 percent, and almost none of it is the model's fault. Here are the patterns that hold up for platform work, and the discipline that decides whether yours does.

## The Thundering Herd Problem in Agentic AI: Why Traditional Fixes Fall Short

DevFeed: [The Thundering Herd Problem in Agentic AI: Why Traditional Fixes Fall Short](<https://devfeed.tech/articles/the-thundering-herd-problem-in-agentic-ai-why-traditional-fixes-fall-short-23739.md>)

Original publisher: [Read original article](<https://cockroachlabs.com/blog/agentic-ai-thundering-herd-problem>)

Author: Quentin Packard

Published: 2026-06-19T00:00:00Z

Content type: article

Language: en

Sources: [Cockroach Labs](<https://devfeed.tech/sources/cockroach-labs.md>)

Topics: [Agentic AI Architecture](<https://devfeed.tech/topics/agentic-ai-architecture.md>), [agent orchestration](<https://devfeed.tech/topics/agent-orchestration.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Concurrency](<https://devfeed.tech/topics/concurrency.md>)

Tags: [agent-orchestration](<https://devfeed.tech/tags/agent-orchestration.md>), [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai-architecture](<https://devfeed.tech/tags/ai-architecture.md>), [load-testing](<https://devfeed.tech/tags/load-testing.md>), [parallel](<https://devfeed.tech/tags/parallel.md>), [thundering-herd](<https://devfeed.tech/tags/thundering-herd.md>)

### AI overview

This article examines how agentic AI can create a thundering herd through intentional fan-out and parallel execution. It argues that traditional mitigations only partly transfer because agent-generated synchronization can produce a sharp saturation point that staging load tests may not reveal.

### Source excerpt

The thundering herd of the past was externally triggered.

## Ralph Loops Use Fresh Context and External Verification to Improve AI Agent Workflows

DevFeed: [Ralph Loops Use Fresh Context and External Verification to Improve AI Agent Workflows](<https://devfeed.tech/articles/stop-orchestrating-ai-agents-use-ralph-loops-instead-18301.md>)

Original publisher: [Read original article](<https://www.decodingai.com/p/ralph-loops>)

Author: Paul Iusztin

Published: 2026-04-23T11:02:54Z

Content type: article

Language: en

Sources: [Decoding ML](<https://devfeed.tech/sources/decoding-ml.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Engineering](<https://devfeed.tech/topics/ai-engineering.md>)

Tags: [agent-orchestration](<https://devfeed.tech/tags/agent-orchestration.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [ai-engineering](<https://devfeed.tech/tags/ai-engineering.md>), [loops](<https://devfeed.tech/tags/loops.md>)

### AI overview

The article argues that replacing complex multi-agent systems with a writer-and-reviewer loop can simplify AI workflows. Ralph loops reset the conversation on each iteration, reload the specification, use filesystem and git for memory, and rely on objective signals such as tests or linters for verification.

### Source excerpt

How one simple loop beats multi-agent orchestration and context rot in production.

## How XY builds an AI agent orchestration platform for healthcare with Temporal

DevFeed: [How XY builds an AI agent orchestration platform for healthcare with Temporal](<https://devfeed.tech/articles/how-xy-builds-an-ai-agent-orchestration-platform-for-healthcare-with-temporal-36119.md>)

Original publisher: [Read original article](<https://temporal.io/blog/xy-build-ai-agent-orchestration-platform-healthcare-temporal>)

Author: The XY Engineering Team

Published: 2026-04-23T00:00:00Z

Content type: article

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [agent orchestration](<https://devfeed.tech/topics/agent-orchestration.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [reliability](<https://devfeed.tech/topics/reliability.md>), [human review](<https://devfeed.tech/topics/human-review.md>), [sensitive data](<https://devfeed.tech/topics/sensitive-data.md>), [Structured-data](<https://devfeed.tech/topics/structured-data.md>), [YAML](<https://devfeed.tech/topics/yaml.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agent-orchestration](<https://devfeed.tech/tags/agent-orchestration.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [automation](<https://devfeed.tech/tags/automation.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [human-review](<https://devfeed.tech/tags/human-review.md>), [long-running](<https://devfeed.tech/tags/long-running.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [reliability](<https://devfeed.tech/tags/reliability.md>), [sensitive-data](<https://devfeed.tech/tags/sensitive-data.md>), [temporal](<https://devfeed.tech/tags/temporal.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

### AI overview

XY describes using Temporal as a DSL-driven execution engine for an AI agent orchestration platform serving complex healthcare workflows. The approach uses a YAML-based workflow language and a generic Temporal workflow class to coordinate multiple systems, reliability features, human review, and sensitive healthcare data from prototype to production.

### Source excerpt

One generic Temporal workflow class can provide infinite healthcare automation. See how XY built a DSL-driven AI agent orchestration platform that scales from prototype to production.

## Agent orchestration is replacing the editor as the center of developer work

DevFeed: [Agent orchestration is replacing the editor as the center of developer work](<https://devfeed.tech/articles/is-the-ide-dead-18050.md>)

Original publisher: [Read original article](<https://addyo.substack.com/p/death-of-the-ide>)

Author: Addy Osmani

Published: 2026-03-20T14:31:23Z

Content type: opinion

Language: en

Sources: [Elevate](<https://devfeed.tech/sources/elevate.md>)

Topics: [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [ide](<https://devfeed.tech/topics/ide.md>), [coding](<https://devfeed.tech/topics/coding.md>), [Command-line interface](<https://devfeed.tech/topics/cli.md>)

Tags: [agent-orchestration](<https://devfeed.tech/tags/agent-orchestration.md>), [agents](<https://devfeed.tech/tags/agents.md>), [claude](<https://devfeed.tech/tags/claude.md>), [codex](<https://devfeed.tech/tags/codex.md>), [cursor](<https://devfeed.tech/tags/cursor.md>), [developer](<https://devfeed.tech/tags/developer.md>), [github-copilot](<https://devfeed.tech/tags/github-copilot.md>), [ide](<https://devfeed.tech/tags/ide.md>), [terminal](<https://devfeed.tech/tags/terminal.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

### AI overview

The article argues that developer work is shifting from line-by-line editing in an IDE toward supervising agents that plan tasks, modify files, run tests, and propose changes for review. It describes a workflow of specifying intent, delegating, observing, reviewing diffs, and merging, while noting that IDEs may evolve rather than disappear.

### Source excerpt

How Agent orchestration is replacing the editor as the center of developer work

## The best engineers just get shit done, sometimes with AI

DevFeed: [The best engineers just get shit done, sometimes with AI](<https://devfeed.tech/articles/the-best-engineers-just-get-shit-done-sometimes-with-ai-37645.md>)

Original publisher: [Read original article](<https://swizec.com/blog/the-best-engineers-just-get-shit-done-sometimes-with-ai>)

Author: hi@swizec.com (Swizec Teller)

Published: 2026-03-19T00:00:00Z

Content type: opinion

Language: en

Sources: [Swizec Teller](<https://devfeed.tech/sources/swizec-teller.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Code](<https://devfeed.tech/topics/code.md>), [Claude Code](<https://devfeed.tech/topics/claude-code.md>), [agent orchestration](<https://devfeed.tech/topics/agent-orchestration.md>)

Tags: [agent-orchestration](<https://devfeed.tech/tags/agent-orchestration.md>), [ai](<https://devfeed.tech/tags/ai.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [code](<https://devfeed.tech/tags/code.md>), [frameworks](<https://devfeed.tech/tags/frameworks.md>)

### AI overview

This opinion argues that engineers should prioritize shipped features and user outcomes over elaborate AI setups, productivity systems, documentation, and planning. It acknowledges that tools and frameworks can help, but says their value is measured by what they enable users to do.

### Source excerpt

The best engineers I know never talk about their AI setup. The worst engineers I know only talk about their AI setup.

## An Experiment in Agent Orchestration at Mintlify

DevFeed: [An Experiment in Agent Orchestration at Mintlify](<https://devfeed.tech/articles/declaring-clankruptcy-an-experiment-in-agent-orchestration-31000.md>)

Original publisher: [Read original article](<https://www.mintlify.com/blog/declaring-clankruptcy>)

Author: Kathryn Lawrence

Published: 2026-02-03T00:00:00Z

Content type: opinion

Language: en

Sources: [Mintlify Blog](<https://devfeed.tech/sources/mintlify-blog.md>)

Topics: [agent orchestration](<https://devfeed.tech/topics/agent-orchestration.md>), [Claude](<https://devfeed.tech/topics/claude.md>), [Claude Code](<https://devfeed.tech/topics/claude-code.md>), [Development](<https://devfeed.tech/topics/development.md>), [React](<https://devfeed.tech/topics/react.md>), [Storybook](<https://devfeed.tech/topics/storybook.md>), [Tailwind CSS](<https://devfeed.tech/topics/tailwind.md>), [monorepo](<https://devfeed.tech/topics/monorepo.md>)

Tags: [agent-orchestration](<https://devfeed.tech/tags/agent-orchestration.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [claude](<https://devfeed.tech/tags/claude.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [development](<https://devfeed.tech/tags/development.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [monorepo](<https://devfeed.tech/tags/monorepo.md>), [react](<https://devfeed.tech/tags/react.md>), [storybook](<https://devfeed.tech/tags/storybook.md>), [tailwind](<https://devfeed.tech/tags/tailwind.md>)

### AI overview

Mintlify describes an experiment using agent orchestration and AI coding tools while migrating its internal component system. The article concludes that an army of Claude agents was still no match for one human collaborator, Dmytro.

### Source excerpt

TL;DR: We tried agent orchestration, but an army of Claudes is still no match for one Dmytro.

## xpander.ai Brings AI Agents to Slack, With Neon Powering the Backend

DevFeed: [xpander.ai Brings AI Agents to Slack, With Neon Powering the Backend](<https://devfeed.tech/articles/xpander-ai-brings-ai-agents-to-slack-with-neon-powering-the-backend-5869.md>)

Original publisher: [Read original article](<https://neon.com/blog/xpander-ai-agents-slack-neon-backend>)

Author: Carlota Soto

Published: 2025-08-07T16:50:28Z

Content type: news

Language: en

Sources: [Blog -- Neon Docs](<https://devfeed.tech/sources/blog-neon-docs.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Slack](<https://devfeed.tech/topics/slack.md>), [Back end](<https://devfeed.tech/topics/backend.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [Low code](<https://devfeed.tech/topics/low-code.md>), [CI/CD](<https://devfeed.tech/topics/cicd.md>), [Provisioning](<https://devfeed.tech/topics/provisioning.md>)

Tags: [agent-orchestration](<https://devfeed.tech/tags/agent-orchestration.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [backend](<https://devfeed.tech/tags/backend.md>), [case-studies](<https://devfeed.tech/tags/case-studies.md>), [ci-cd](<https://devfeed.tech/tags/ci-cd.md>), [database](<https://devfeed.tech/tags/database.md>), [llm](<https://devfeed.tech/tags/llm.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [product](<https://devfeed.tech/tags/product.md>), [provisioning](<https://devfeed.tech/tags/provisioning.md>), [slack](<https://devfeed.tech/tags/slack.md>)

### AI overview

xpander.ai is launching a Slack integration that deploys production-ready AI agents as autonomous teammates. Its platform provides agent memory, tools, multi-agent orchestration, MCP support, integrations, CI/CD, versioning, and governance. Neon powers the backend by storing agent memory and providing an isolated Postgres project for each tenant.

### Source excerpt

"The entire memory layer of our agent, all its session data, is stored in Neon. It's the backend for everything the agent remembers." (Ran Sheinberg, co-founder and CPO of xpander.ai) xpander is a new platform built for helping developers build and run production-ready AI agents....