X @Avi Chawla

Learn how LLM inference actually works under the hood.vLLM has 100k+ lines of code. Mini-SGLang does the same core job in 5,000.It's a compact codebase that serves as both a capable inference engine and a transparent reference for researchers and devs. Something you can actually finish reading over a weekend.Here's what makes it special:↳ Clean, type-annotated code you can actually read↳ Radix cache to reuse KV cache across shared prefixes↳ Chunked prefill for long contexts without memory blowup↳ Tensor par ...