If we're shipping AI features to users, we need proper experimental design rather than hoping engagement metrics tell the story. The cluster randomisation approach handles the collaborative nature of AI tools where individual

Shows how to build semantic recommendations without becoming a clickbait echo chamber. They're combining community signals (follows, reactions) with vector similarity in PostgreSQL. The Ai::Base wrapper pattern for auditing API

Dynamo's 7x throughput claims come from GB200 benchmarks, but the real value may be in making SGLang, vLLM, and TensorRT-LLM work together without custom glue code. Most teams hit the multi-GPU coordination wall before they reach individual engine limits.

The move from 26.67% to 0% policy violations isn't just about better rules, it's about enforcement architecture. Microsoft's toolkit intercepts every tool call rather than trusting agent behaviour, which may become the standard for production deployments.

If we're using Google Antigravity, backup ~/.gemini/antigravity before upgrading. The 2.0 rewrite breaks compatibility with extensions and history. The guide covers recovering stranded conversations and agent brain entries that

Both vbsec and offensive-claude signal that security-aware AI coding is moving from afterthought to first-class concern. The timing aligns with more production deployments hitting real attack surfaces.

The shift isn't about AI replacing us, it's about how it changes what parts of our work feel meaningful. Understanding which skills remain irreplaceable helps focus learning time on areas where human judgment still matters most.