---
title: "Scaling long-running autonomous coding"
url: https://daily.dev/posts/7yqeavrwi
source_url: https://cursor.com/blog/scaling-agents
type: share
source: "Santiago Fernandez"
author: "Santiago Fernandez"
published: 2026-01-15T00:12:59.052Z
updated: 2026-03-15T06:27:39.526Z
tags: ["ai", "ai-agents", "distributed-systems", "llm"]
upvotes: 0
comments: 0
language: en
---

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# Scaling long-running autonomous coding

**[Santiago Fernandez](https://daily.dev/sources/lcmhf86vgz2uwjd1ctka4)** · [@santifprimary](https://daily.dev/santifprimary) · 0 upvotes · 0 comments

## Summary

Cursor's research team experimented with running hundreds of concurrent AI coding agents autonomously for weeks on large-scale projects. They evolved from flat self-coordination (which failed due to locking bottlenecks and risk-averse behavior) to a hierarchical planner-worker architecture. This system successfully built a web browser from scratch (1M+ lines of code), migrated Cursor's codebase from Solid to React (266K additions, 193K deletions over 3 weeks), and optimized video rendering 25x faster. Key learnings: GPT-5.2 excels at long-running tasks, different models suit different roles, simpler architectures outperform complex ones, and prompt engineering matters more than infrastructure. The approach demonstrates that multi-agent coordination can scale autonomous coding beyond single-agent limitations.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://cursor.com/blog/scaling-agents>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#ai-agents](https://daily.dev/tags/ai-agents), [#distributed-systems](https://daily.dev/tags/distributed-systems), [#llm](https://daily.dev/tags/llm)

[View this post on daily.dev](https://daily.dev/posts/7yqeavrwi)