Mixture-of-Experts, Long Context, and the Gemini 3 Pro Era
Inside the quiet rewiring of onboarding at Atlassian.
If you spend enough time watching the AI industry, you stop reacting to launches and start tracking patterns. Mixture-of-Experts, Long Context, and the Gemini 3 Pro Era is one of those patterns.
Atlassian has been quietly running customer support through Claude Projects for months. The results are unglamorous and, for that reason, more interesting than another benchmark chart.
Teams that win with long-context workflows tend to share a habit: they write the evals before they write the prompts. Everything else follows from that.
What Alibaba Qwen actually shipped with DeepSeek V4 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 tool-first agents tend to share a habit: they write the evals before they write the prompts. Everything else follows from that.
Inside Figma, the rollout looked less like a moonshot and more like a slow migration. A pilot, a champion, a quiet expansion, a budget line.
None of this guarantees a clean story. Meta FAIR 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.