Model swaps look like configuration changes, but they behave more like product migrations. A new model may be cheaper, faster, easier to get capacity for, or stronger on public benchmarks….
The post What we learned testing 7 models under the same agent harness appeared first on Arize AI.
Announcing coding harness tracing for observing, evaluating, and improving coding agent workflows across Claude Code, Cursor, Codex, GitHub Copilot, and Gemini CLI.
The post Coding agent tracing and evaluation: An open source tool to improve AI coding workflows appeared first on Arize AI.
A discussão sobre inteligência artificial em saúde ainda está presa no lugar errado.Continue reading on Medium »
CCA-F Domain 2: Beyond prompt-patching: A senior engineer’s guide to structural reliability, tool boundaries, and the Model Context…Continue reading on Towards AI »
Domain 1 Study Guide for CCA-F with examples in Claude Agent SDKContinue reading on Towards AI »
Last weekend my 15 year old nephew was visiting and somehow the conversation drifted to AI. He has been using ChatGPT for school projects…Continue reading on Medium »
We’ve gone through three major eras of making AI systems work. Each era solved the previous era’s biggest limitation.Continue reading on Medium »
Everyone’s talking about AI models. Almost nobody’s talking about the infrastructure that makes them useful. That’s about to change.Continue reading on Medium »
