---
title: "Scaling long-running autonomous coding"
url: https://daily.dev/posts/scaling-long-running-autonomous-coding-j1ucc2ohl
source_url: https://cursor.com/blog/scaling-agents
type: article
source: "Cursor"
published: 2026-01-14T22:24:44.555Z
updated: 2026-03-15T06:14:27.797Z
tags: ["ai", "ai-agents", "distributed-systems", "llm"]
reading_time: 6
upvotes: 1
comments: 0
language: en
---

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# Scaling long-running autonomous coding

**[Cursor](https://daily.dev/sources/cursor)** · 6 min read · 1 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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- [Towards self-driving codebases](https://daily.dev/posts/towards-self-driving-codebases-wcvkyhvlb) · Cursor · 1 upvotes · 0 comments

---

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)

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