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Go Time: Golang, Software Engineering
Pitching Go in 2025
Dec 10, 2024
Kent Quirk, an experienced Go developer, and Christian Gabrielsson, a software engineer adept with various languages, discuss the evolution and current relevance of Go. They tackle the challenges of adopting Go in established tech environments and highlight its long-term maintainability. The conversation also delves into the philosophical aspects of programming language choice amidst AI advancements. Listeners gain insights on advocating for Go, overcoming resistance, and leveraging Go's simplicity for practical use cases.
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Quick takeaways
- Go's ongoing relevance stems from its simplicity and performance, making it suitable for modern cloud-native applications despite emerging programming languages.
- Resistance to adopting Go in organizations often relates to cultural comfort with established technologies rather than pure technical factors, emphasizing the need for robust justifications.
Deep dives
The Versatility of Postgres for AI Applications
Postgres is highlighted as an optimal database for AI applications due to its popularity and extensibility. Its capacity to handle various data types, including time series and vector data, makes it suitable for complex AI tasks like recommendation systems and AI agents. Timescale has developed specific extensions, such as PG Vector Scale, to enhance the performance of Postgres, making it more viable for large-scale AI applications. By leveraging its existing capabilities, developers can transition smoothly into building AI applications without the need for entirely new database systems.
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