montfort

5 ms·

1.
by montfort 3mo ago
What I've noticed for the past couple of days is a spike in resource consumption for trivial tasks like examining a commit or listing a directory; it goes around in circles with absurd actions, it doesn't need to diff the files in
2.
by montfort 3mo ago
I have a similar impression. I think it's because the workflow isn't fully refined, and the IDE interfaces don't match that undefined flow. These are strange times; for a moment, I felt Antigravity was what I needed, but it w
3.
by montfort 3mo ago
Exactly, that's precisely the point. They're different experiences. What I achieve now with three weeks of theoretical work, other teams achieve incrementally over several months in iterable work blocks. The interesting thing is w
4.
by montfort 3mo ago
I suppose our opinions stem from different experiences. I don't expect AI to do all the work with just a paragraph of instructions. Some people do, and they get very poor results. I design large, complex systems based on microservices,
5.
by montfort 3mo ago
I understand your point, but what you're describing is exactly the kind of mistake even the best human programmer could make in a poorly managed environment. I'm concerned that since AI emerged, we've overestimated our progra
6.
by montfort 3mo ago
Under very specific instructions to obtain only logs and not make any changes to files, Gemini Pro 3.1 applied remediation measures by altering configuration on two occasions. It only stopped because we discontinued its use.
7.
by montfort 3mo ago
The profession has already changed. For the past eight months, AI has been competent enough to code like the best human programmer, but strangely, the software isn't any better yet. Everyone has lost sight of what the profession truly
8.
by montfort 3mo ago
TUI applications are necessary when most of your workflow takes place in the terminal, and their functions are embedded almost like a pipe into that flow. Unlike graphical desktop applications, where you find multiple ways to interact with
9.
by montfort 3mo ago
I do see the point if you focus on embedded systems that struggle running a monolithic kernel like Linux, implementing a microkernel architecture and an efficient, open user space surface to run drivers that different vendors could develop
10.
by montfort 3mo ago
Take a look at the AMD Ryzen AI Halo Developer Platform with a Ryzen AI Max+ 395 processor. These systems, with 128GB of unified memory and their specialized processors, deliver greater performance and inference power than Apple's Mac
11.
by montfort 3mo ago
I use my own tool (released as open source "StrangeDaysTech/straymark"), which takes blocks of related implementation tasks, builds a comprehensive prompt with auditing instructions (comparing intent against implementation),
12.
by montfort 3mo ago
This is a common experience for everyone. A combination of small models with overly abbreviated prompts will produce poor and faulty output. This is where what's called "prompt engineering" comes in. With practice, you'l