I am curious how the workflow of people, who do not write code at all, looks like, or what products do they build. In my experience LLMs are an excavator, but you still have to tweak the fine details with a shovel.
Given that according to some we can code at 10x speed for at least half a year, I wonder where there are some autocoded softwares with 5 years' worth of equivalent human engineering work.
I'll root for DeepSeek v4 Flash as well. It surprised me just how "good enough" it is for most of my needs, and also dirt cheap. Everyone should try it at least once.
Given that we can code at 10x speed for at least half a year, one would expect to see at least some pieces of machine-created software with 5 years' worth of equivalent human engineering work.
To me it was just a few weeks ago discovering just how good and dirt cheap the recent flash models are, in particular Deepseek V4. Previously used Claude's variants almost exclusively.
I use them mostly in the "artist's assistant" role, doing internet research, writing a occasional function and doing transformations or refactorings (don't belive the agentic hype honestly), and for such tasks they seem to be well capable enough.
It seems that their open weights nature leads to competition among providers keeping the user cost close to inference cost.
Try them at least once if you haven't, it's well worth it, and the price difference is staggering
Recently, I tasked Opus 4.6 to study a new Czech building permit law in conjunction with some waste disposal regulations and the result was disappointing. The model could not stop drawing conclusions from obsolete regulations in its training dataset, even when given the fulltext of the new law. The usual "you are totally right" also applied and its conclusions were most of the time obviously wrong even to a human with cursory knowledge of the subject.
I ended with studying the relevant regulations myself over the weekend.
Not sure about flawed code logic, but it is embarassingly easy to plant false information into models. Make a few static sites with random info, crosslink them, reference them on reddit a few times, then plant the payload there.