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title: Best Neon posts — June 2025 | daily.dev
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# Best of Neon — June 2025

1. 1  
[](https://daily.dev/posts/app-build-an-open-source-ai-agent-that-builds-full-stack-apps-jfej0xitb "app.build: An Open-Source AI Agent That Builds Full-Stack Apps")  
Article  
![Avatar of neontech](https://media.daily.dev/image/upload/s--65EDghou--/f_auto/v1724339118/logos/neontech)Neon · 1y  
app.build: An Open-Source AI Agent That Builds Full-Stack Apps  
app.build is an open-source AI agent that automatically builds and deploys full-stack applications with end-to-end testing and automated deployments. The tool can be started with a simple npx command, creates GitHub repositories, and deploys apps with authentication, databases, and hosting infrastructure. The agent uses a divide-and-conquer approach, breaking app creation into smaller tasks with quality checks at each step to ensure working applications.  
61  
1
2. 2  
[](https://daily.dev/posts/how-we-re-using-cursor-at-neon-hklyhxr4b "How We're Using Cursor at Neon")  
Article  
![Avatar of neontech](https://media.daily.dev/image/upload/s--65EDghou--/f_auto/v1724339118/logos/neontech)Neon · 1y  
How We're Using Cursor at Neon  
Neon's engineering team shares their experience using Cursor AI coding assistant across TypeScript, Go, Rust, and Python codebases. They highlight successful workflows including Cursor Tab for faster coding, Agent Mode for refactoring and debugging, understanding unfamiliar code, and modernizing legacy patterns. However, they identify limitations like context gaps leading to incorrect suggestions, reliability issues in large files, and the cognitive overhead of model selection. The team suggests improvements including better context awareness, version-specific syntax suggestions, automated testing workflows, and open-sourcing the editor.  
34  
2
3. 3  
[](https://daily.dev/posts/comparing-native-postgres-elasticsearch-and-pg-search-for-full-text-search-nbpk7i5eq "Comparing Native Postgres, ElasticSearch, and pg_search for Full-Text Search")  
Article  
![Avatar of neontech](https://media.daily.dev/image/upload/s--65EDghou--/f_auto/v1724339118/logos/neontech)Neon · 1y  
Comparing Native Postgres, ElasticSearch, and pg\_search for Full-Text Search  
PostgreSQL's native full-text search works for small datasets but struggles with performance and search quality at scale. ElasticSearch provides superior search capabilities but introduces operational complexity with dual data stores and sync challenges. pg\_search offers a middle ground by embedding a modern search engine (powered by Tantivy) directly into PostgreSQL, delivering BM25 ranking, fuzzy matching, and real-time indexing without the operational overhead of managing separate systems.  
12

[See all Neon archives](/sources/neontech/best-of)

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