A case for Go as the best language for AI agents
getbruin.com
March 2, 2026
10 min read
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
PositivePositives
- 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.
Source
getbruin.com
Published
March 2, 2026
Reading Time
10 minutes
Relevance Score
57/100
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