Episode 62: Codex 0.136, Stanford's Agent Guidelines, AWS OpenAI, and GPU Efficiency

AgentStack Daily EP062 leads with Codex `rust-v0.136.0`: better TUI diagnostics and error context, improved app-server lifecycle handling, named hooks and permission scopes, Python SDK and Node SDK improvements, and non-interactive installation support. Stanford's CS336 course publishes a formal AI agent guidelines document that reaches 1,863 stars in under 24 hours — institutional validation that agent workflow guidelines are becoming a first-class engineering concern. OpenAI puts GPT-4.5, o3, and Codex on AWS Bedrock, completing the pattern where both major labs distribute through the same cloud. Expanse from YC P26 uses cluster-specific fine-tuned models to predict GPU job resource needs and outperforms frontier LLMs by 8x on that task, backed by real HPC telemetry and SLURM/Kubernetes integration. The project radar covers agent OS for hardware, terminal context managers, MCP workflow templates, and physical agent scheduling. Show notes: https://tobyonfitnesstech.com/podcasts/episode-62/