---
title: "From Prompt to Multi Agent System: The evolution of our AI product, by Hila Fox"
url: https://daily.dev/posts/from-prompt-to-multi-agent-system-the-evolution-of-our-ai-product-by-hila-fox-e4wt8aocl
source_url: https://www.youtube.com/watch?v=SXVA0KO1vKQ
type: video:youtube
source: "Jfokus"
published: 2026-05-22T08:05:07.215Z
updated: 2026-05-22T08:05:36.368Z
tags: ["ai-agents", "mcp", "langgraph"]
reading_time: 39
upvotes: 0
comments: 0
language: en
---

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# From Prompt to Multi Agent System: The evolution of our AI product, by Hila Fox

**[Jfokus](https://daily.dev/sources/jfokus)** · 39 min read · 0 upvotes · 0 comments

## Summary

A conference talk by an AI product manager at Koda tracing the evolution of their AI code review product from a single LLM-based agent to a multi-agent system. The journey covers early context window limitations requiring data pruning, adoption of MCP for dynamic context collection, a custom MCP transport layer built to avoid Node.js dependency issues in JetBrains plugins, and the progression from opinionated agents to ReAct agents. The talk culminates in a 'mixture of agents' architecture for code review: a diamond-shaped flow with a context collector feeding specialized parallel sub-agents (bug finding, compliance enforcement) whose outputs are filtered by an LLM-as-judge. LangGraph is used for agent orchestration with PostgreSQL for state management.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=SXVA0KO1vKQ>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#mcp](https://daily.dev/tags/mcp), [#langgraph](https://daily.dev/tags/langgraph)

[View this post on daily.dev](https://daily.dev/posts/from-prompt-to-multi-agent-system-the-evolution-of-our-ai-product-by-hila-fox-e4wt8aocl)
