Real Atlassian solutions to real problems — no fluff, no SEO spam.
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.
App passwords are removed on 28 July 2026, and in the final week they were already dark 20 hours out of every 24. Here is the failure signature, the three different usernames nobody can keep straight, why swapping in a token often changes nothing, and the reason almost no team can tell you who is still affected.
Three weeks after the swarm shipped its first honest builds, the work stopped being about making small local models smarter and became about making them stop lying to me. Here is what 602 commits bought, what the desktop looks like now, and the three defects I found in my own honesty machinery while writing this post.
Clean up before you migrate is the most-repeated advice in the Atlassian world, and almost nobody takes it. Not because they're lazy — because every incentive in the room, mine included, is paid to move more, not less. Follow the money.
Everyone's braced for the 2029 Data Center deadline. Almost nobody's watching the one that lands at the end of 2026 — sitting under the apps you already paid to move. Atlassian Connect is on a published end-of-support countdown, and two of its three phases have already passed.
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.
We forked Block's goose into a multi-agent swarm that decomposes a hard app spec into a task DAG, runs it across three small local models on LM Studio, and makes them verify their own work by actually running it. Over six days and 300-plus commits, the last real limit stopped being the swarm's coordination and became the small model's raw coding ability — and even that ceiling moved.
CogniRunner's latest update brings local AI inference, a zero-key Atlassian-hosted model, and declarative AI actions that write back to Jira — all configured in plain English.
Permissions, Assets data shape, and Assets scope — the three places where I keep watching migrations slip and budgets balloon. None of them are anyone's fault. All of them are dramatically cheaper to fix before migration than during.
