Software Engineering Daily

Optimizing Agent Behavior in Production with Gideon Mendels

Feb 17, 2026 · 52m

<p>LLM -powered systems continue to move steadily into production, but this process is presenting teams with challenges that traditional software practices don’t commonly encounter. Models and agents are non-deterministic systems, which makes it difficult to test changes, reason about failures, and confidently ship updates. This has created the need for new evaluation tooling designed specifically</p> <p>The post <a href="https://softwareengineeringdaily.com/2026/02/17/optimizing-agent-behavior-in-production-with-gideon-mendels/">Optimizing Agent Behavior in Production with Gideon Mendels</a> appeared first on <a href="https://softwareengineeringdaily.com">Software Engineering Daily</a>.</p>

यो भाग अहिलेसम्म प्रतिलिपि गरिएको छैन

प्रयोग STT.ai एआई संग यो प्रकरण transcribe गर्न। वक्ता पत्ता लगाउने, timestamps संग सही पाठ प्राप्त, र बहु ढाँचामा निर्यात।

यो भाग प्रतिलिपि गर्नुहोस्

वक्ता पत्ता लगाउनुहोस् शब्द-स्तर समय चिन्ह SRT, TXT, JSON को रूपमा निर्यात गर्नुहोस्

धेरै भागहरू

Optimizing Agent Behavior in Production with Gideon Mendels

यो भाग अहिलेसम्म प्रतिलिपि गरिएको छैन

धेरै भागहरू

SED News: OpenCode, AI Code vs. Shipped Code, and the LiteLLM Breach

FreeBSD with John Baldwin

Cilium, eBPF, and Modern Kubernetes Networking with Bill Mulligan

Games That Push Back with Bennett Foddy

Prettier and Opinionated Code Formatting with James Long

Skate Story with Sam Eng

DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev

Reinventing the Python Notebook with Akshay Agrawal

Organizational Context for AI Coding Agents with Dennis Pilarinos

SED News: OpenClaw Goes Viral, Mistral’s Compute Play, and the Agent Arms …