I have been hacking on AI agents recently for both fun and profit as part of the work I’m doing for one of my clients.
They’re mostly text-to-speech (TTS) agents leveraging LLMs for generating text which is then turned into voice by a trained TTS model.
As you [probably] know, maintaining conversation with LLMs over a longer period of time requires maintaining the conversational context and sending it back to the LLM along with your follow-up prompts to prevent the LLMs from “hallucinating” from the get-go.

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The post discusses a performance trick for implementing a circular buffer in Go. It initially presents a basic implementation using append calls but highlights the unnecessary allocations it creates. It then introduces an optimized implementation that avoids extra allocations. The post concludes by mentioning a Rust implementation and emphasizes the importance of performance optimization.

Circular Buffer Performance Trick