Building AI agents, open code, and open source: A conversation with Dax

This post contributes to the agentic code transformation and model orchestration thread by discussing the philosophy and practical considerations behind building open-source AI coding tools (OpenCode) and curated inference services (Zen). It elaborates on the user experience challenges of integrating various LLMs, the importance of reliable inference providers, and the limitations of synthetic benchmarks, advocating for real-world evaluation. This provides context on the user needs and market landscape that drive the development of agentic platforms.