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Inside GEPA: How Genetic‑Pareto Optimizer Turns LLM Reflections into Prompt Evolution

Inside GEPA: How Genetic‑Pareto Optimizer Turns LLM Reflections into Prompt Evolution

A deep dive into DSPy’s GEPA reveals that its per‑example Pareto frontiers, weighted parent selection, and mini‑batch reflection loop are the real drivers of performance – not just the surface API. By dissecting the source and experimenting with valset composition, merge settings, and proposer prompts, the author uncovers practical guidelines that can turn an underwhelming run into a powerful, exploration‑driven optimization.
The Great Indonesian Tea Theft: How a NPM Spam Campaign Hijacked Thousands of Packages

The Great Indonesian Tea Theft: How a NPM Spam Campaign Hijacked Thousands of Packages

A sophisticated spam operation from Indonesia leveraged NPM’s open registry to hijack popular packages, inject malicious code, and self‑replicate across thousands of projects. The attack demonstrates how even well‑known libraries can become vectors for supply‑chain compromise, and it underscores the need for stricter publishing controls.

Google's Temeraire: How a Hugepage-Aware Allocator Rewrites Memory Efficiency at Scale

Google's tcmalloc team unveiled Temeraire, a groundbreaking memory allocator that leverages hugepages to slash TLB misses and boost fleet-wide performance. Beyond technical innovation, the project showcases transformative lessons in datacenter-scale telemetry, A/B experimentation, and why optimizing systems demands measuring what truly matters.