Real Atlassian solutions to real problems — no fluff, no SEO spam.
goose Local Edition is our fork of goose with a swarm engine and an execution-based scorer. The scorer boots the built application, drives it over HTTP and in a browser, and prices what a user would actually experience. On the current board our own fleet is last of seventeen at 0.0172 — here is why that number is the point.
Multi-token prediction is merged in llama.cpp and still an open PR in mlx-lm. I measured both on an M3 Ultra with the same model. Every default MTP setting was slower than no MTP at all, and the runtime that deletes the MTP head outright is still the fastest thing on the box.
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.
