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Pitching Go in 2025 (Go Time #339)
Dec 10, 2024
Kent Quirk, an experienced software engineer, and Christian Gabrielsson, who specializes in pitching Go in professional settings, discuss the contemporary relevance of Go amid evolving programming languages. They tackle the challenges of introducing new technologies in organizations and the stability and maintainability that Go offers. The conversation also touches on the impact of AI tools in software engineering, emphasizing the importance of human expertise. Additionally, they share insights on technology choices and how best to utilize Go in modern applications.
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Quick takeaways
- Go's evolving features, including generics, allow it to remain relevant in cloud-native applications despite pressures from newer languages.
- Postgres' extensibility and capability to handle diverse data types make it an ideal choice for modern AI applications and tools.
Deep dives
The Versatility of Postgres for AI Applications
Postgres is increasingly recognized as a prime choice for AI applications due to its extensibility and strong community support. Its capability to handle a variety of data types, including time series and vector data, positions it well for modern use cases related to IoT, sensors, and AI technologies. Companies like Timescale leverage Postgres to build powerful extensions such as PG Vector Scale, enhancing performance and scalability for large-scale applications like recommendation systems. This versatility allows developers to create AI applications without needing to manage multiple databases, streamlining the development process significantly.
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