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What's the best programming language for coding agents?
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Overview
Dynamically typed programming languages are generally more token efficient in LLMs compared to statically typed languages due to their ability to omit explicit type declarations. This efficiency leads to lower token costs when coding agents.
Summary from danluu.com.
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Based on 5 sampled comments from this thread. Analyzed 2026-08-11.
- Praise: Go is hailed as a top choice for LLMs due to its simplicity and consistency in training data, making it easier for models to generate reliable code.
- Praise: Commenters note that frontier LLMs excel at picking up various programming languages quickly, which is a promising sign for future applications.
- Praise: Some users have been pleasantly surprised by how well LLMs handle Gleam and Lustre, suggesting that languages focusing on human-friendly features may also benefit AI models.
- Concern: Many commenters argue that Python's training data is tainted by poor-quality code from non-software engineers, which hampers LLM performance.
- Concern: One user expresses frustration with LLMs' performance in Gleam, noting they often produce incorrect or irrelevant code due to biases in training data.
- Concern: There are concerns about evaluating programming languages solely based on token efficiency, as it may overlook how LLMs actually handle real-world programming tasks.