AIRUNCODE 1.5.4 IS HERE
Something pretty important changed in AIRUNCODE.
The model is becoming interchangeable.
Claude, GPT, other providers, an API endpoint, Chinese models, or a model running locally on your own machine can now operate inside the same environment and get access to the same AIRUNCODE tools.
That means you don't need a frontier model burning expensive tokens for every stupid little step of a workflow.
You can bring in a frontier model when you actually need that level of intelligence, let it solve the hard part, and then have a local model continue working with what was already done.
The expensive model doesn't need to be the worker carrying bricks all day just because it was the architect for five minutes.
That's the direction I've wanted from the beginning.
And we've pushed the graphical side much further too. The models can now work with the graphical engine in a way that lets them build, recompile, inspect, change and rebuild.
Think LEGO.
Instead of giving the AI a finished LEGO set and letting it move a few pieces around, we're giving it the pieces and the tools required to keep rebuilding the thing until the result is actually useful.
So a "sample" can finally be a real sample: something that can be compiled, changed and compiled again as many times as necessary until it becomes a clean product.
The new subscription system is live now too.
I've already given one AIRUNCODE subscription away and I'm giving another one away. More importantly, I want people actually running this workflow now.
Use a frontier model. Use your endpoint. Use a local model. Mix them.
And if you break AIRUNCODE, tell me.
That's literally useful to me right now. 😂


Replies
The "expensive model is the architect for five minutes, not the guy carrying bricks all day" line is what sold me. Letting a local model take over after the hard part is done sounds like a real way to save money..
Which local models have worked best for you so far? And can a normal laptop run one without being painfully slow?