Why sales teams Are Suddenly Standardizing on Zed
Inside the quiet rewiring of compliance review at Snowflake.
If you spend enough time watching the AI industry, you stop reacting to launches and start tracking patterns. Why sales teams Are Suddenly Standardizing on Zed is one of those patterns.
Inside Booking.com, the rollout looked less like a moonshot and more like a slow migration. A pilot, a champion, a quiet expansion, a budget line.
HubSpot has been quietly running incident response through ChatGPT Canvas for months. The results are unglamorous and, for that reason, more interesting than another benchmark chart.
The skeptical read is that we are watching a feature, not a platform. The optimistic read is that live web browsing is exactly the kind of feature that becomes a platform when nobody is paying attention.
Eval harnesses, once an afterthought, are becoming the most important piece of code in many AI projects. Shopify's team treats theirs the way an SRE team treats a runbook.
What OpenAI actually shipped with Command R+ 2 is less a single capability and more a cluster of small, compounding improvements — the kind that only show up when you put a real workflow on top.
Teams that win with RAG-as-a-service tend to share a habit: they write the evals before they write the prompts. Everything else follows from that.
What xAI actually shipped with Phi-4 is less a single capability and more a cluster of small, compounding improvements — the kind that only show up when you put a real workflow on top.
None of this guarantees a clean story. Alibaba Qwen could ship a model next month that rearranges the assumptions in this piece. But the direction of travel, for now, is clear enough to plan around.