PERFORMANCE-OPTIMIZATION

30 days · UTC

LIVE_DATA_STREAM // APRIL_14_2026

Synchronizing with global intelligence nodes...

DENSITY_RATIO: MAX

FASTER, CHEAPER LLM SERVING: PROMPT CACHING AND P-EAGLE IN VLLM

Two practical levers promise big LLM serving gains: prompt caching and a reported P‑EAGLE integration in vLLM for speculative decoding. A clear expla...

CODEX

JAN_16 // 14:27

OpenAI’s internal playbook: using Codex for code understanding, refactors, and perf tuning

OpenAI engineers use Codex to quickly map unfamiliar services, automate multi-file refactors/migrations, and surface performance bottlenecks. The post...

OPENAI-CODEX

JAN_15 // 20:57

How OpenAI Engineers Use Codex for Large-Scale Code Work

OpenAI teams use Codex to speed up code understanding, multi-file refactors/migrations, and performance tuning across large codebases. Examples includ...