r/multidotdev | reddlx

We shipped Skills support 🚀

We shipped Skills support in Multi.

Some tasks need more than raw model intelligence.

A database migration might need specific rollout steps, a frontend change might need your design system rules, a release task might require internal checklists and scripts...

Now you can package that knowledge into Skills.

Drop a SKILL.md into your project and Multi can discover it, activate it when relevant, and follow the guidance during execution.

Skills can include instructions, references, scripts, and repo-specific workflows.

Instead of repeating the same prompts over and over, you teach Multi once and reuse it across tasks.

Happy shipping.

Onward 🚀

u/Confident-Rule-8162 — 9 days ago

▲ 9 r/multidotdev

Parallel subagents changed how I think about model selection

We recently shipped parallel subagents in Multi. The goal is the same as always: more AI leverage, while keeping visibility and control.

But parallel agents make one thing obvious: "best coding model" is the wrong framing.

When one agent runs the whole show, one default model kind of works.

With subagents, the task splits into different kinds of work: planning a refactor, searching a repo, editing one file, writing tests, debugging a failure, spinning up cheap parallel research workers

Those do not all need the same model.

Some need reasoning.
Some need speed.
Some need context.
Some need cheap tokens.

Curious how people want this to work in Multi.

Would you route models by task/role, or just pick one default and live with it?

reddit.com

u/0x1010101 — 10 days ago

▲ 6 r/multidotdev

Multi vs Gemini CLI head-to-head: Impressions from building a researcher agent

I've spent the past hours building researcher agents to try to scrape the internet for experience reports, anecdotes, and n-of-1 studies to deal with a complex medical case.

In the past, I've tried purpose-built researcher agents on the web, but found myself stymied. Even deep-research agents by the frontier model labs were overly constrained: incomplete, unconvincing results, and too many annoying caveats (how many times can you say "this is not medical advice"?). At times they didn't even suss out results from sources which I explicitly specified eg Reddit.

I decided to try to build my own researcher agents, with the backup plan in mind that even if I have to find the source data myself, I can use LLMs to organize and evaluate.

My setup:

Model: Gemini 3
Harness 1: Gemini CLI
vs Harness 2: Multi 0.0.97

These are my impressions in near real-time (to be put in comments section below)

u/benddit — 11 days ago

▲ 5 r/multidotdev

How does Multi make money? Who is funding its development?

Since Multi.dev claims the following:

Completely free / No subscription
No data collection: Your code stays on your machine

And it's not an open-source project, I got to ask...

How does it make money? Who's funding it's development?

u/danek731733 — 11 days ago

▲ 8 r/multidotdev

Multi v0.0.97 is live: parallel execution 🚀

Folks, we just shipped parallel execution in v0.0.97.

Multi can now coordinate multiple calls and agents at once when the work is independent. Less waiting. More done.

In our testing, we found this especially powerful when the task touches several parts of a codebase.

If the work can run in parallel, Multi will do that by default. And if you want to push it harder, just ask Multi to parallelize the task.

Onward 🚀

u/0x1010101 — 12 days ago