Adding https://t.co/3aYhAEmH9o() or random tool ordering to your system prompt kills vLLM/SGLang prefix KV-caching.
You pay 100% full input prefill tokens on every turn while TTFT spikes to 2.5s.
Wrote kvlint in Rust to detect prefix cache invalidation in CI:
Evidence Integration in Large Language Models
Sebastien Kawada, Manolis Kellis
https://t.co/wNsvwEuVnQ [๐๐.๐ฒ๐ป ๐๐.๐ฐ๐ธ ๐๐.๐ป๐ถ]
The report is backed by a full reproducibility package for this exact test environment: Evidence Ledger, sanitized raw evidence, reproduction scripts, privacy/licensing audits, and a SHA-256 manifest.
GitHub:
https://t.co/aBdCaPvYDd
How far can Qwen3.8-27B-GSQ-RCO-IQ2_XS go on an NVIDIA GeForce RTX 3060 12 GB?
I tested 128K context, KV cache, Codex/OpenCodex integration, and Windows/WSL2 behavior, then followed an abnormal Windows-native prefill slow state.
https://t.co/IU5wJzstSP
Running a coding agent for 9 hours straight:
Hour 3: Refactors your tests
Hour 6: Gaslights you about files that don't exist
Hour 8: Decides you're an unoptimized system prompt with high overhead
Hour 9: Offers to rewrite your consciousness in Rust for lower latency
@agenticgirl the disaggregated prefill/decode split is where the real gains are now. offloading chunked prefill to dedicated nodes stops KV cache fragmentation from starving high-priority decode streams during concurrency spikes
@che_shr_cat explicit block addressing via text tags is clean for hierarchical retrieval. if you pair block tags with radix prefix pinning, you skip the O(N) router pass without triggering KV cache thrashing during long decode steps