# Agent orchestration is so two years ago

DevFeed: [Agent orchestration is so two years ago](<https://devfeed.tech/articles/agent-orchestration-is-so-two-years-ago-2188.md>)

Original publisher: [Read original article](<https://stackoverflow.blog/2026/07/07/agent-orchestration-is-so-two-years-ago/>)

Author: Phoebe Sajor

Published: 2026-07-07T07:40:00Z

Content type: opinion

Language: en

Sources: [Stack Overflow Blog](<https://devfeed.tech/sources/stack-overflow-blog.md>)

Topics: [AI Bots](<https://devfeed.tech/topics/ai-bots.md>), [ai observability](<https://devfeed.tech/topics/ai-observability.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [apis](<https://devfeed.tech/tags/apis.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [llm](<https://devfeed.tech/tags/llm.md>), [llms](<https://devfeed.tech/tags/llms.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [podcast](<https://devfeed.tech/tags/podcast.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [se-stackoverflow](<https://devfeed.tech/tags/se-stackoverflow.md>), [se-tech](<https://devfeed.tech/tags/se-tech.md>)

## AI overview

A discussion argues that increasingly capable models reduce the value of heavy agent-orchestration layers. It presents information retrieval, unique data, and end-to-end evaluation as key advantages, alongside web-search APIs that supply real-time data to LLMs.

## Source excerpt

Ryan welcomes Saahil Jain, CTO of You.com, to discuss why building agents with a 2024 mindset is a mistake as modern models improve at long-horizon tasks, why heavy orchestration layers can hurt model performance more than help it, and why the 2026 competitive edge actually comes from information retrieval and unique data paired with end-to-end evaluation.