Ghazi Felhi
AI Engineer
Ghazi Felhi is an AI Engineer at Anyshift with a PhD in Generative AI, specializing in Language Modeling. A published AI researcher, he brings a track record of productionizing innovative AI-based solutions to Anyshift, where he works on Annie, Anyshift's AI SRE.
2 Articles
AI Context for Prod, Optimized by AIs in Prod
Annie (our AI SRE agent) had institutional memory from ACE, the agentic context-engineering loop that curates cheatsheets from past runs. It worked, but clients kept catching her trusting stale entries or missing answers buried in her own bloated context. So we added five things on top: (1) a fixed set of memory items always presented to the agent, (2) per-query retrieval over the rest of the memory store, (3) an agent-optimized index of that store, (4) the ability for the agent to query the store mid-run, and (5) tried-and-true memory freshness mechanisms. Production context, now optimized by the AI using it. Here's the reasoning and what a few weeks in production say.
Agentic Context Engineering in Production: How AI Agents Build Institutional Expertise
AI agents start every run from scratch. ACE (Agentic Context Engineering) gives them institutional memory that evolves through use, cutting root cause analysis time by 30%.