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CursorCursorExplainer
How Vercel used Cursor to build Queues
Summary
Vercel built its durable event streaming system, Vercel Queues, entirely with Cursor, using agents across three rewrites and validating changes against real AWS environments. Engineers had agents work on the Queues API, connect to AWS, inspect DynamoDB and Kinesis side effects, inject faults, simulate bugs, and verify results, while Cursor retained context through long sessions and compaction events. The workflow also supported model switching, parallel planning agents, inline review, stacked PRs, and asynchronous Cloud Agents. Among Vercel’s Cursor power users, PR throughput increased 54%, PR cycle time decreased 89%, resources per feature fell 27%, and the company reports 104 hours saved per developer annually. Product managers also use Cursor for repository analysis, product analytics, and small fixes without drawing on engineering resources.
Context
Vercel Queues is a durable event streaming system and one of Vercel's most important new infrastructure products. The team refined its architecture through three rewrites based on internal dogfooding.
Approach / What changed
Agents handled Queues API work and end-to-end verification against real AWS environments, including reading DynamoDB and Kinesis side effects, injecting faults, simulating bugs, and checking results. Cursor also provided context compaction, model switching, inline review, stacked PRs, and asynchronous Cloud Agents.
Takeaways
Joe Haddad uses parallel planning agents to compare models on new problem spaces before choosing an approach for the work.
Cursor's context compaction retained resources, side effects, and test details across extended sessions, according to Haddad.
Vercel product managers use multi-root repository workspaces, data warehouse CLIs, and MCPs for product questions, analytics, and small fixes.
Source and freshness
- Source
- cursor.com
- Published
- Added to Yomu
- Last updated
Summaries are generated from the original by a language model. Check the original before relying on it.
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