Technical Insights & Architecture Papers
Deep-dives on high-throughput backend architecture, Python & Django performance, real-time Voice AI, and resilient database modeling.
Dynamic Prompt Prefix Caching in Multi-Turn LLM APIs: Structuring Breakpoints for Sub-100ms TTFT and 80% Cost Reduction
Dramatically accelerate multi-turn LLM agent responsiveness and slash inference billing by engineering deterministic prompt prefix breakpoints across Anthropic and OpenAI caching layers.
Speculative Decoding in Real-Time Voice Agents: Accelerating LLM Inference with Draft-Verification Pipelines
Sequential autoregressive token generation creates an unavoidable latency bottleneck for large LLMs. Discover how speculative decoding uses lightweight draft models to achieve 2x to 3x token generation speeds in vLLM without quality degradation.
KV Cache Eviction & Prompt Prefix Caching in vLLM: Reducing TTFT by 80% Across Multi-Turn Voice AI Dialogues
Multi-turn telephony voice agents suffer massive TTFT latency stalls as context grows. Learn how to configure RadixAttention and prefix caching in vLLM to achieve sub-100ms first-token generation in production.
Production RAG Chunking Strategies: Semantic, Recursive, and Parent-Document Retrieval Compared
Naive fixed-character text chunking ruins LLM retrieval precision by bisecting key sentences and isolating semantic context. Compare recursive character splitting, semantic boundary detection, and parent-document retrieval architectures for production RAG pipelines.
Real-Time Voice Agent Guardrails: Enforcing Sub-150ms Latency Budgets & Hallucination Prevention
Building production conversational voice agents demands sub-150ms audio turnaround while strictly enforcing compliance, safety, and hallucination guardrails. Discover how to architect speculative token verification and sliding-window semantic screening without blocking audio streams.