A case for Go as the best language for AI agents
getbruin.com
March 2, 2026
10 min read
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57/100
Summary
Go is identified as the best programming language for developing AI agents due to its performance, efficiency, and strong concurrency support. Bruin, an open-source ETL tool primarily written in Go, exemplifies its capabilities in building robust web services.
Key Takeaways
- Go was chosen as the programming language for the Bruin CLI tool due to its performance, concurrency capabilities, and the developer's enjoyment of the language.
- Go's strong and static typing helps ensure that code generated by AI agents is syntactically correct, reducing certain types of bugs.
- The decision to use Go over Python was influenced by the need for a robust ecosystem to interact with various systems and APIs, despite Python's larger library availability.
- The author believes Go is currently the best language for developing AI agents due to its advantages in speed and developer experience.
Community Sentiment
Positives
- Go's static typing and CSP concurrency model provide a robust foundation for LLM code generation, minimizing runtime errors and enhancing developer productivity.
- The stability of Go, with no breaking changes in over a decade, fosters a consistent development environment, which is crucial for building reliable AI agents.
- The integration of govulncheck for static analysis in Go enhances security by allowing developers to identify vulnerabilities early in the development process.
Concerns
- Go's type system is perceived as less useful compared to alternatives like Rust or Haskell, which may limit its effectiveness for certain AI applications.
