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What years of production-grade concurrency teaches us about building AI agents
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José Valim asserts that Elixir is the optimal programming language for AI, supported by a Tencent study showing it achieved the highest LLM code completion rate at 80.3%. The actor model from Erlang, introduced in 1986, is being rediscovered in AI development, paralleling patterns emerging in the Python AI ecosystem.
Summary from georgeguimaraes.com.
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- Praise: The BEAM's supervision tree model effectively manages long-lived, stateful conversations, which aligns well with the needs of AI agents in handling failures.
- Praise: The discussion highlights the potential for improved concurrency in AI applications through the use of Erlang processes, which can enhance performance in I/O bound workloads.
- Concern: Agent frameworks appear bloated and may not provide clear advantages over existing models like Claude, leading to confusion among developers about their utility.
- Concern: Concerns were raised about the durability of execution in Elixir, indicating that it may not adequately address critical issues in agent frameworks without additional state management.