Just Talk To It – the no-bs Way of Agentic Engineering
October 16, 2025
![A line graph titled "Curve of Agentic Programming" with complexity on the y-axis and time on the x-axis, showing a hump-shaped curve; early stage is labeled “plz fix this,” the peak includes a list of complex tasks like “8 agents at same time” and “library of 18 different slash commands,” and the declining phase ends with “Hey, look at these files […] and then do [med size change].”](https://conffab.com/wp-content/uploads/2025/10/curve-angentic.jpg)
I’ve been more quiet here lately as I’m knee-deep working on my latest project. Agentic engineering has become so good that it now writes pretty much 100% of my code. And yet I see so many folks trying to solve issues and generating these elaborated charades instead of getting sh*t done.
Source: Just Talk To It – the no-bs Way of Agentic Engineering | Peter Steinberger
When I very first started developing software in any serious kind of way at university in the mid-1980s, waterfall was only then starting to become a standardised practise.
Before then, particularly at the scale of architecture, there really weren’t any established practises to speak of.
We’ve since seen the Agile revolution, but it seems clear that we’re in the midst of a similar revolutionary transformation in how we develop low-scale and small-scale software products.
We’ve published a few of these accounts so far where experienced developers talk about how they are working with large language models as software engineers.
It’s fascinating to see how different engineers work with these technologies, what they are learning, how their process is iterating and evolving, and how it compares with other very experienced developers.
Are we evolving towards the one true way we should work with these models? Or do different use cases require different processes? Or do different models work better with different approaches?
None of that is clear, but it’s definitely interesting to get these sorts of inputs into our own decision-making about how we should be working with the models.
