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Why Go is the Perfect Language for Building AI Agents

2025-06-09

This article explores the advantages of Go for building AI agents. The author argues that the rise of AI agents necessitates high concurrency, long-running processes, and efficient resource management. Go excels in these areas due to its lightweight goroutines, efficient concurrency model, robust standard library, and convenient cancellation mechanisms. The article compares Go to other languages like Python and Node.js, highlighting Go's superior handling of concurrency, memory management, and error handling. A code example illustrates Go's elegant approach to inter-agent communication and state management. While acknowledging Go's relative lack of machine learning libraries, the article strongly advocates for Go as the ideal choice for building high-performance, scalable AI agents.

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PostgreSQL Insert Optimization: From 2k to 92k Inserts/second

2025-05-16

The Hatchet team achieved a 31x speedup in PostgreSQL inserts, going from 2,000 to 92,000 inserts per second. Key optimizations included connection pooling, batched inserts, and the COPY command. They found that more connections aren't always better, requiring finding an optimal balance. Batched inserts dramatically increased throughput but also added latency, necessitating tuning batch size and flush intervals. The COPY command proved significantly more efficient when data return wasn't needed. The article hints at advanced optimization techniques like multi-table transactional inserts and using UNNEST, promising a deeper dive in a future post.