Also, use cases? I’m a little lost after nailing down all the movement.
182 karma · joined January 21, 2025
Creator of Vigilance.
vigihq[dot]com phended[dot]com
Also, use cases? I’m a little lost after nailing down all the movement.
Can’t use for commercial purposes. Can’t opt out of training. Data retained.
Also this doesn’t take into consideration one of the ugliest sides of SSC which is M&A. Sure on a completely greenfield piece of software, seems like it would be a solution (although over engineered tbh). But that doesn’t really exist in closed source systems as they are Frankenstein pieces of software that get new stuff bolted onto them.
Most critical infrastructure orgs don’t have the budget to hire consultants, and even if they do, the deliverable is a deck, or a spreadsheet, or a PDF. We want to help any org of any size create a security regimen outside of these stale and disparate docs. For FREE.
Plus we have additional tools that we are building on top of the free software that will help in other areas besides policies and procedures. Like OSINT of any orgs operational and physical footprints.
For every one person that says they mind, it adds likely an additional margin of error AND time to their day. So I really disagree with making people’s lives harder. That’s why technology exists…
And more and more of these systems are on device models, not cloud compute. So I don’t see that argument either
I went through an acquisition as a Canadian software developer getting acquired by an American company. They wanted us to be called engineers like the rest of their SWEs but in Canada it’s a protected namespace. It’s illegal to call yourself an engineer without having the ring and the papers. Which personally I can appreciate.
Also I find that on greenfield, babysitting is a must, but once you have established your house style of patterns, abstractions, and baselines, you can let any of them roam free cause they will look for examples before going forward.
I agree with the sentiment though that if you let a swarm design and code your whole codebase, you will be lost in how it fits together. More feature bloat than code bloat though from my experience
AI is definitely on a scale of magnitude more but it has inherent value outside of “scarcity”. It’s actually quite the opposite with sheer supply/demand balance. Also investing in crypto made me less money than investing in myself by using AI to learn and challenge myself to think differently.
The guy uses Claude Code, same as me… it’s like a highly skilled mason with a chisel, against me with a chisel. I’m not going to produce the same masterpiece, because there is SME that underpins the accelerant.
Also, let’s not forget. The developer is rarely the person pitching the feature, and is normally given the constraints and the PRD…
Soooo people can keep tiptapping on the keyboard, but eventually they need to open their mind to the possibility that “the old way” is actually dead.
Check it out: https://redact.cabreza.com
I think people aren’t reading the system cards when they come out. They explicitly explain your workflow needs to change. They added more levels of effort and I see no mention of that in this post.
Did y’all forget Opus 4? That was not that long ago that Claude was essentially unusable then. We are peak wizardry right now and no one is talking positively. It’s all doom and gloom around here these days.
The technical debt problem is real, but as long as after a large session across 10-12 repos over a couple days, I can do a sweep for loose ends and kill dead code that we had for an old implementation. It’s less about building a piece, and more like building version 1 of a feature and then building version 2 a week later instead of 6 months later.
Command replaces that with a platform that maps to their real sites, real assets, and real operational constraints, so they can actually run the program, not just document it.
Consulting firms use it to deliver more engagements with the same team. Asset owners use it to keep the program alive between engagements, or run one themselves.
There was a big bug in the Voice MCP I was using that it would just talk to itself back and forth too.
I highly doubt they used AI to build the network…
It’s less about “challenge my thinking” and more about playing it out in long tail scenarios, thought exercises, mental models, and devils advocate.