Real Atlassian solutions to real problems — no fluff, no SEO spam.
MCP went stateless on 2026-07-28. I probed ten real servers: none implement it. Then I measured the thing that actually costs you — 145 tool definitions, 40,784 tokens, and the 30% that is one server repeating itself.
Metal will not give you the RAM on the box, and the number it does give is not the 75% everyone repeats. I measured the three ceilings on a 96 GB Mac Studio, then measured what modern hybrid-attention models actually spend against them — including a Gemma 4 cache that quietly holds three times its own sliding window.
Ant Group's 124B/5.1B-active hybrid-linear MoE hit Hugging Face on 2 August. The memory arithmetic fits a 96 GB Mac with room to spare, and mlx-lm still refuses it. I counted exactly which tensors block it — 385 of 62,237 — then measured what that sparsity actually buys on the models that do run.
I quantised real Qwen3-Coder weights both ways on an M3 Ultra. MXFP8 reconstructs them about 10x worse than 8-bit affine at identical size — and then costs only 1% perplexity end to end. Both numbers are true, and the gap between them is the interesting part.
We built a harness that makes local coding agents produce real software, grades it by running it, and ran the same model as GGUF and MLX. Here's the harness, its modes and archetypes — and which build wins.
