@asmah2107: For everyone asking what to build in Inference Engineering: > An inference server (C++/Rust) > Paged KV Cache (like vLL…
Summary
A tweet lists key projects to build in inference engineering for understanding production LLM systems, including inference servers, paged KV cache, speculative decoding, quantization libraries, and guardrails.
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Cached at: 07/21/26, 10:39 AM
For everyone asking what to build in Inference Engineering:
An inference server (C++/Rust)
Paged KV Cache (like vLLM)
Speculative Decoding
A quantization library (INT8/FP8/AWQ/GPTQ)
Prompt caching
FlashAttention CUDA kernel
AI Gateway (routing, load balancing, failover)
CFG/FSM-based structured decoding Logit processors
Guardrails (input/output filtering)
Build these and you’ll understand how production LLM systems actually work.
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