Nir Gazit

Prompt Engineering is Dead — Nir Gazit, Traceloop

Jun 27, 2025 · 14:19

Nir Gazit, CEO of Traceloop, argues that manual prompt engineering is ineffective and demonstrates an automated, test-driven alternative. He improves a RAG-based documentation chatbot by 5x without hand-tuning prompts, using an LLM-as-a-judge evaluator with 20 example questions (each with 3 expected facts) and a CrewAI agent that iteratively optimizes the prompt based on evaluation scores. The initial score of 0.4 jumps to 0.9 after just two iterations. Gazit warns of overfitting to the small dataset and suggests splitting into train/test sets. The approach replaces manual tweaking with a 'gradient ascent' on evaluators, effectively vibe-engineering prompts.

OpenLLMetry is all you need

Feb 22, 2025 · 9:12

Nir, CEO of Trace Loop, introduces OpenLLMetry, an open-source project extending OpenTelemetry for tracing and monitoring GenAI applications. OpenTelemetry, maintained by CNCF, standardizes logging, metrics, and traces across cloud environments, supported by platforms like Datadog, New Relic, and Grafana. OpenLLMetry provides over 40 automatic instrumentations for foundation models (OpenAI, Anthropic, Cohere), vector databases (Pinecone, Chroma), and frameworks (LangChain, LlamaIndex, CrewAI). These instrumentations emit logs, metrics, and traces in OpenTelemetry format, allowing users to send data to any supported observability backend with a configuration change, avoiding vendor lock-in.