I hope some of these backdoors and/or 0-days being kept under wraps by nation states or corporate espionage companies (Pegasus et al) are being found incidentally through all this.
It’s frustrating to have all these 0days and CVEs to patch for now, but in the long run perhaps we’ll leave with more robust software.
This is the real reason for the vulnpocalypse, not "technical debt".
NSA spent 20 years stockpiling vulns and pushing the industry towards half-assed solutions like address sanitization and pointer tagging when they could have put the industry on memory-safe languages instead.
They managed to get the IME/PSP/TrustZone into 99% of the CPUs out there by mandating it for government purchases; they could have done the same thing with memory-safe languages. But instead they chose to stockpile vulns. Hope they burn in hell for this.
Why do you think the NSA could have put the industry on memory-safe languages?
Even if they wanted to, I highly doubt they could push the industry to do that. The industry does what it wants to do, and rewriting tons of software was far from its priorities. There were no LLMs back then to help with such a massive migration.
There's also the fact that rewriting software tends to introduce a lot of new bugs.
The U.S. government could have required all new software for any government-procured system to be written memory-safe languages, thus making it ubiquitous. This could have been phased in slowly with a few years of on-ramp time to allow for industry to acquire the relevant skills.
The DoD tried that with Ada and largely failed. That was with defense contractors whose primary customer mandated it. That was despite Ada being proven to work in its first projects.
The U.S. government had pushed Ada for years and it never worked out. The government was forced to accept C++ because industry was rebelling against ADA, even though ADA was memory safe. Well, Ada did have the ability to be memory unsafe. It was much better by default.
But even in memory-safe languages, compiler bugs are still an issue. The theory is perfect but the implementation is flawed. In such case once the compiler bugs are found, the software would have to be rewritten to compile. For example an 11 year old memory bug was discovered recently in the rust compiler: https://www.penligent.ai/hackinglabs/rust-borrow-checker-bug....
Memory safe languages are not a silver bullet either.
Is it forcing us to "pay off" technical debt or is it starting us on a compulsory endless treadmill of feature-neutral fix-work? Collectively, we just won't know for a while.
It totally feels like the former if you watch it find and fix vulnerabilities or other debt-tasks one after another.
But only so many of these "technical debt" issue are little off-by-one errors that get remedied by a surgically narrow patch.
Many enough require some kind of restructuring or redevelopment of their own and it's going to take time to figure out if AI faces the same dilemma as human developers: where each non-trivial change carries the risk of some new issue, ad infinitum.
If that happens to be the case, and AI isn't able to magically produce perfect software in finite time, then what's really happened is that the threat of hostile AI exploiting our technical debt will force us to always be burning and churning code just to remain a moving target.
The original technical debt, which cannot be paid off, was the decision to use a Von Neumann architectures instead of a Harvard architectures for CPUs.
I was down voted a lot months ago for saying that a lot of open source software had a false sense of being secure with the assumption that someone else would have audited the code. And this AI auditing is going to make the promise of open source software getting audited by others actually real. Nice to see others waking up to this reality.
Having worked on both sides of the table, the reality is that it is far too easy to game certs like ISO27001. The risk calculation by companies taking that route is changing right out from under them thanks to Ai tools.
The article takes PHP2Shell as the worst offender of the present wave of vulnerabilities but HTTP2Shell/Brotli2Shell was arguably worse. The consequence over at Brotli may very well be the same, but the timeline shows, if anything, that at least part of reality is actually still very much "humans just sitting on vulnerabilities for months or even years". From the timeline: 8 years in the code, 8 months unreleased (but fix in Git) and at least 4 independent researchers finding the problem and pointing it out.
And that's the biggest win with AI. With old-fashioned development, it was considered acceptable to defer addressing valid feedback ad infinitum, hiding behind whatever lousy excuse you could come up with. No more.
ironically, AI is also making us create a new whole new level of technical debt - where _no one_ has actual understanding of the code being written and we're just trusting the machine
I like to think of it as a new abstraction layer on top of something we've been comfortable with for years. The developers of the past had to trust that human-readable code would compile to the machine-level bytecode they were used to write, and that even though it wasn't as efficient as they could make it, one day the benefits would outweigh the negatives. Today most developers don't understand compilers well enough to even begin questioning if the code doesn't work because the compiler has a bug or because their code has a bug. They have to trust the abstraction layer beneath their current domain, and they have to find ways to prove that their work is correct in that domain (e.g., writing a sufficient number of unit- and integration tests, compiling with different compilers to different targets, etc.).
We, too, have to adjust to this change, this new abstraction layer, because whether we like it or not, the code an LLM will produce in no more than five years will arguably be much, much better than the code any 10x developer could produce even if given months of time and an infinite supply of caffeine.
We "just" need to find a way to confirm that our work in this new abstraction layer - primarily prompt engineering - results in the code functionality that we had in mind, not necessarily the code implementation that we had in mind.
Indeed, and it's just going to end up as a zero-sum game where the winner is the one who can most adeptly manipulate the machine to cause harm to the other.
We could rephrase it like this: “AI has removed all the excuses we had not to remove technical debt”
Yes, AI developed code might have vulnerabilities or bugs, but so already has your JSP based web server that has Oracle and God knows what else among dependencies.
As someone who has been programming for about 25 years now and has always been frustrated by the tendency of software devs, and in particular web devs, to not address the root issues but just scaffold on top of them and try to hide the ugly bits under the carpet, I feel a bit vindicated.
Everybody in the industry knows that we've been building on quicksand. Moore's law meant that we could just sacrifice performance and add a dozen layer on top of technology from the 90s (if not older) and keep the thing chugging along.
Look at the PHP situation:
- HTTP is an old and quirky protocol with a lot of surface open for attackers that are rarely useful nowadays and might be better left off to higher layers. But of course, we can't break compat, so everybody still implements all the naughty parts, just in case.
- PHP was a joke language from the start, we were making fun of it in the early 2000s, the fact that over 20 years later it still powers a huge chunk of the web is enough to demonstrate that we're not serious people. Cue the PHP fans telling me that "it's good now". Maybe, I don't really care, the effort that went into making it good should have gone into ditching PHP for a better language 20 years ago. The bandaid mentality is what got us in this situation.
- And of course to add insult to injury, PHP, this security-critical language, is still implemented in garbo C using things like setjmp/longjmp. Just to make sure to absolutely maximize the damage if a vuln is discovered, I suppose. Brilliant.
- Oh and all of this is still running overwhelmingly on top of x86 which is its own bag of legacy garbage. "No but you don't get it, modern CPUs are really more like RISC CPUs, the RISC ISA is translated internally" yeah exactly that's my point let's stop doing things like that.
We're a clown industry. We only made it this far because, usually, buggy code doesn't kill people and we can iterate and patch things quickly. We never had to do things correctly, we could flourish with abysmal levels of quality acceptance. This may not be true anymore.
Of course the reason things are done this way is generally to maintain backward compatibility and make transition easier. At least now that we have LLMs this excuse will hopefully vanish: porting even huge codebases to a new language/framework, something that was a tremendous undertaking mere months ago, is now vastly easier and faster. We can leave the 1990s behind us.
It's coordination problems and large scale distributed action, not some moral character of how serious the people are. Effort is not fungible. To make php good, you only have to act at one point, in a localized way, at the php foundation. To ditch php, you have to act in a coordinated way across any resource strapped companies and individuals. Just see how hard it was to ditch Python 2 or how ipv4 is still not ditched.
Trying to understand underlying reasons and incentive structures is much more productive and useful than simply venting about the worse moral character and seriousness of people in one industry vs the next. Curiously, the grass seems always greener - when you ask people in other industries, you'll often hear endless complaints about the state of things there too.
I'll generally agree, and I include myself in this industry, but we've simply have been bound by compatibility. I don't think anyone chose intentionally to keep the crap around; it was simply never worth it to pay the "break compatibility" cost, until now.
> PHP was a joke language from the start.... Cue the PHP fans telling me that "it's good now".
First, I am not a PHP fan, but I will absolutely stick up for the "its good now".
Yes, absolutely no debate the old PHP 4.x/5.x was shocking. However to give PHP their due, they absolutely did make serious efforts in 7.x/8.x. They deserve due recognition for that.
Unfortunately lots of people – I'm guessing you're one of them – still have battle-scars from 4.x/5.x and they think (incorrectly) that 7.x/8.x is "more of the same".
Second "joke language", well, cast your mind back to what else was available at the time... ColdFusion, CGI, ASPX ... it was not exactly a beautiful world back then.
Sure, to borrow your terminology, the Java fans will be along soon to tell us all how awesome Java is for the web. But many of us still bear battle-scars of the horrors of Java stacktraces, messing around with incomprehensible XML config files, Java's penchant for eating RAM for breakfast, and generally trying to figure out why the hell Tomcat is not working (again !).
Wait a second, in very recent years the major Java projects I touched were still messing around with incomprehensible XML config files. Has that actually changed in some part of the industry?
> Has that actually changed in some part of the industry?
I suspect the only thing that's changed is that Oracle now charge you for the pleasure. ;)
More seriously though, its been a long time since I've touched Java, but I suspect the only thing that's changed is that its all hidden in magical kubernetes containers these days.
It's especially fun when not implementing the naughty bits is its own source of vulns. Your code is simpler and less prone to RCE, but your proxy mishandling or whatever allows for credential smuggling attacks, identity spoofing, request smuggling, cache poisoning, and all the normal issues at the application layer.
Absolutely. The industry could have moved towards safer languages, better coding methodology and formal verification years ago (see for example MISRA C as at least a partial movement in this direction). It didn't, because it was cheaper not to.
>to not address the root issues but just scaffold on top of them and try to hide the ugly bits under the carpet
It's totally the devs fault and not the environments devs have to work in. Deadlines forced down on you until you have to make compromises, 24/7 having to compete with people who actually don't care because you have to meet months end payments somehow. Whole businesses blinded by a tech gold rush.
>We're a clown industry.
I do agree here, but that includes every non dev person.
You forgot NPM. Whereby we download code from unknown authors on GitHub and run in with full access to our filesystem on our machines. No vulnerability, it's been designed like this, we even have designed scripts to autoupdate vulnerabilites, that's the proof that vulns are not common.
In my opinion, the whole paradigm how we use computers needs to be replaced. It is like the 80s, but now with internet and a thread larger then anything in computer history before. I remember boot sector viruses and stuff.
My approach is https://tix.im/ - not launched yet. But from expedience: modeling everything as workflows of composeable nix flakes (expert systems from programs, skills, agents, workflows and their snippets, DBs blobs, service descriptions, ...) and then run everything in highly isolated environments. It is not only so much more efficient, reduces errors, increases quality, reduces unnecessary cognitive load, ...
I start to move more and more daily tasks into the systems. Even UI programs become interactive workflow steps, which allow me to attach from anywhere back to a task in an environment optimized for the task.
Dependency updates for example, a workflow. A subgraph from a security scanner expert checks each change in the dependency tree.
I don't mean to be that guy, but your website feels inscrutable to me. I know that a lot of that might be because it's written by an LLM, but the page seems like it's full of private language and is the product of a deep context conversation with your agent that I don't have enough context to understand.
I'm personally not sharing the connotations of negativity towards software development and the term technical debt. I keep reading implications that most of this has always been in some way preventable, but it really is not that simple. How did nobody find these types of exploits 40 years ago? Why are we suddenly shocked and blame the field for this? I think the majority of people severely underestimate the complexity and seriousness of software. Once that perception stops and the economic incentives are right, we can start to look closer.
Just consider how laughable some working conditions in software are and then come to realize how architecture is shaped by the organization communication patterns and not reality. You will see it in a different light then.
Earlier this year, the cybersecurity firm Calif offered to independently audit PHP, sponsored by OpenAI. Within two weeks, a researcher at Calif, aided by AI tools, found a way to use the out-of-memory bug to run arbitrary code on the host server, allowing a malicious actor to install malware or read critical data. Now, it was no longer a minor bug—it was a critical vulnerability, and the Calif team alerted the PHP foundation to start working on a patch immediately.
So, the headline should read,
"AI is helping us eliminate 40 years of technical debt."
Since AI found the bug, and probably also generated the patch at this point.
An abundance of solutions is a problem for people who sell solutions.
What's hillarious is people vibe coding massive AI apps thinking its not creating tech debt and security holes. If anything, AI is discovering existing holes, and creating them faster than ever before in history.
All those "paying down" technical debt with AI, I would advise reading the code _very_ carefully. Sometimes the "solution" which passes some test or adheres to some described functionality is incredibly narrow / brittle, and/or has failure cases that are non-obvious.
Yes I'm using $latest_model on high, its still not there. Unless your threshold for "fixed" is "the 1M line lean proof runs, we don't know how it works", it still requires a lot of attention, hand-holding, and scrutiny, especially when fixing issues / working around failures (where it tends to shortcut or invent workarounds).
I'm not going to lie, I'm having a great time thinking at the endless discussions around unsafe languages and the relentless smugness of many practitioners claiming everything was fine as long as the responsible and the skilled (them) were in charge; and let's not forget the formulaic "with great power comes great responsibility" closers.
Well now, Great Responsibles, it's clear you too were out of your collective depth and were all paying for your smug hubris. Perhaps take a bite out of that humble pie you've obviously never tasted?
The PHP2Shell incident highlights something important: AI is making it easier to discover vulnerabilities, but fixing legacy security issues still requires time, expertise, and resources.
For businesses, this is a reminder that cybersecurity cannot be treated as a one-time task. Regular updates, security audits, and responsible maintenance matter just as much as adopting new technology.
As professional communities become more connected, sharing technical knowledge and learning from security experts will become increasingly valuable. That's also why platforms like Lobox focus on bringing professionals together to exchange knowledge, build connections, and discover relevant communities.
The bigger question is: are organisations investing enough in fixing their existing technical debt before adopting more AI-powered systems?
The PHP situation was only particularly bad because (of the nature of the vulnerability, but also) the people handling it made some very inappropriate choices, like being way too attached to the embargo even once the complete reproduction was circulating publicly on Twitter. That's not inherent to the security patch process, and hopefully doesn't become the norm.
Keep in mind that every PHP application globally was advised to completely cut network access or entirely shut down until the patch was available, so this was global critical infrastructure failure. I'm surprised lives weren't lost as a result.
And no, from what I've seen, it had nothing to do with the few entities that did rightly ignore the embargo after the exploit was already being circulated, even though the PHP devs are seemingly still putting resources into spinning it that way.
I'm sure the defender community will eventually come up with a way to patch security vulnerabilities just about as fast as they can be discovered and exploited.
I hope some of these backdoors and/or 0-days being kept under wraps by nation states or corporate espionage companies (Pegasus et al) are being found incidentally through all this.
It’s frustrating to have all these 0days and CVEs to patch for now, but in the long run perhaps we’ll leave with more robust software.
Hopefully we'll also see us back to KISS principles too. But who am I kidding
This is the real reason for the vulnpocalypse, not "technical debt".
NSA spent 20 years stockpiling vulns and pushing the industry towards half-assed solutions like address sanitization and pointer tagging when they could have put the industry on memory-safe languages instead.
They managed to get the IME/PSP/TrustZone into 99% of the CPUs out there by mandating it for government purchases; they could have done the same thing with memory-safe languages. But instead they chose to stockpile vulns. Hope they burn in hell for this.
Why do you think the NSA could have put the industry on memory-safe languages?
Even if they wanted to, I highly doubt they could push the industry to do that. The industry does what it wants to do, and rewriting tons of software was far from its priorities. There were no LLMs back then to help with such a massive migration.
There's also the fact that rewriting software tends to introduce a lot of new bugs.
The U.S. government could have required all new software for any government-procured system to be written memory-safe languages, thus making it ubiquitous. This could have been phased in slowly with a few years of on-ramp time to allow for industry to acquire the relevant skills.
The DoD tried that with Ada and largely failed. That was with defense contractors whose primary customer mandated it. That was despite Ada being proven to work in its first projects.
The U.S. government had pushed Ada for years and it never worked out. The government was forced to accept C++ because industry was rebelling against ADA, even though ADA was memory safe. Well, Ada did have the ability to be memory unsafe. It was much better by default.
But even in memory-safe languages, compiler bugs are still an issue. The theory is perfect but the implementation is flawed. In such case once the compiler bugs are found, the software would have to be rewritten to compile. For example an 11 year old memory bug was discovered recently in the rust compiler: https://www.penligent.ai/hackinglabs/rust-borrow-checker-bug....
Memory safe languages are not a silver bullet either.
>IME/PSP/TrustZone into 99% of the CPUs
Yeah, about that. Its the biggest vulnerability in the industry. Nobody wants to confront this fact, though.
Too much profit to be made in subversion and human rights abuses.
Is it forcing us to "pay off" technical debt or is it starting us on a compulsory endless treadmill of feature-neutral fix-work? Collectively, we just won't know for a while.
It totally feels like the former if you watch it find and fix vulnerabilities or other debt-tasks one after another.
But only so many of these "technical debt" issue are little off-by-one errors that get remedied by a surgically narrow patch.
Many enough require some kind of restructuring or redevelopment of their own and it's going to take time to figure out if AI faces the same dilemma as human developers: where each non-trivial change carries the risk of some new issue, ad infinitum.
If that happens to be the case, and AI isn't able to magically produce perfect software in finite time, then what's really happened is that the threat of hostile AI exploiting our technical debt will force us to always be burning and churning code just to remain a moving target.
It's another "we'll see" thing for now, I think.
The original technical debt, which cannot be paid off, was the decision to use a Von Neumann architectures instead of a Harvard architectures for CPUs.
I was down voted a lot months ago for saying that a lot of open source software had a false sense of being secure with the assumption that someone else would have audited the code. And this AI auditing is going to make the promise of open source software getting audited by others actually real. Nice to see others waking up to this reality.
Having worked on both sides of the table, the reality is that it is far too easy to game certs like ISO27001. The risk calculation by companies taking that route is changing right out from under them thanks to Ai tools.
The article takes PHP2Shell as the worst offender of the present wave of vulnerabilities but HTTP2Shell/Brotli2Shell was arguably worse. The consequence over at Brotli may very well be the same, but the timeline shows, if anything, that at least part of reality is actually still very much "humans just sitting on vulnerabilities for months or even years". From the timeline: 8 years in the code, 8 months unreleased (but fix in Git) and at least 4 independent researchers finding the problem and pointing it out.
[0] https://www.bugsink.com/blog/http2shell-timeline/
And that's the biggest win with AI. With old-fashioned development, it was considered acceptable to defer addressing valid feedback ad infinitum, hiding behind whatever lousy excuse you could come up with. No more.
ironically, AI is also making us create a new whole new level of technical debt - where _no one_ has actual understanding of the code being written and we're just trusting the machine
I like to think of it as a new abstraction layer on top of something we've been comfortable with for years. The developers of the past had to trust that human-readable code would compile to the machine-level bytecode they were used to write, and that even though it wasn't as efficient as they could make it, one day the benefits would outweigh the negatives. Today most developers don't understand compilers well enough to even begin questioning if the code doesn't work because the compiler has a bug or because their code has a bug. They have to trust the abstraction layer beneath their current domain, and they have to find ways to prove that their work is correct in that domain (e.g., writing a sufficient number of unit- and integration tests, compiling with different compilers to different targets, etc.).
We, too, have to adjust to this change, this new abstraction layer, because whether we like it or not, the code an LLM will produce in no more than five years will arguably be much, much better than the code any 10x developer could produce even if given months of time and an infinite supply of caffeine.
We "just" need to find a way to confirm that our work in this new abstraction layer - primarily prompt engineering - results in the code functionality that we had in mind, not necessarily the code implementation that we had in mind.
Indeed, and it's just going to end up as a zero-sum game where the winner is the one who can most adeptly manipulate the machine to cause harm to the other.
This is exactly what has happened the past 50+ years, too, your toolbox was just different in the 90's than it is today.
We could rephrase it like this: “AI has removed all the excuses we had not to remove technical debt”
Yes, AI developed code might have vulnerabilities or bugs, but so already has your JSP based web server that has Oracle and God knows what else among dependencies.
As someone who has been programming for about 25 years now and has always been frustrated by the tendency of software devs, and in particular web devs, to not address the root issues but just scaffold on top of them and try to hide the ugly bits under the carpet, I feel a bit vindicated.
Everybody in the industry knows that we've been building on quicksand. Moore's law meant that we could just sacrifice performance and add a dozen layer on top of technology from the 90s (if not older) and keep the thing chugging along.
Look at the PHP situation:
- HTTP is an old and quirky protocol with a lot of surface open for attackers that are rarely useful nowadays and might be better left off to higher layers. But of course, we can't break compat, so everybody still implements all the naughty parts, just in case.
- PHP was a joke language from the start, we were making fun of it in the early 2000s, the fact that over 20 years later it still powers a huge chunk of the web is enough to demonstrate that we're not serious people. Cue the PHP fans telling me that "it's good now". Maybe, I don't really care, the effort that went into making it good should have gone into ditching PHP for a better language 20 years ago. The bandaid mentality is what got us in this situation.
- And of course to add insult to injury, PHP, this security-critical language, is still implemented in garbo C using things like setjmp/longjmp. Just to make sure to absolutely maximize the damage if a vuln is discovered, I suppose. Brilliant.
- Oh and all of this is still running overwhelmingly on top of x86 which is its own bag of legacy garbage. "No but you don't get it, modern CPUs are really more like RISC CPUs, the RISC ISA is translated internally" yeah exactly that's my point let's stop doing things like that.
We're a clown industry. We only made it this far because, usually, buggy code doesn't kill people and we can iterate and patch things quickly. We never had to do things correctly, we could flourish with abysmal levels of quality acceptance. This may not be true anymore.
Of course the reason things are done this way is generally to maintain backward compatibility and make transition easier. At least now that we have LLMs this excuse will hopefully vanish: porting even huge codebases to a new language/framework, something that was a tremendous undertaking mere months ago, is now vastly easier and faster. We can leave the 1990s behind us.
It's coordination problems and large scale distributed action, not some moral character of how serious the people are. Effort is not fungible. To make php good, you only have to act at one point, in a localized way, at the php foundation. To ditch php, you have to act in a coordinated way across any resource strapped companies and individuals. Just see how hard it was to ditch Python 2 or how ipv4 is still not ditched.
Trying to understand underlying reasons and incentive structures is much more productive and useful than simply venting about the worse moral character and seriousness of people in one industry vs the next. Curiously, the grass seems always greener - when you ask people in other industries, you'll often hear endless complaints about the state of things there too.
> We're a clown industry.
I'll generally agree, and I include myself in this industry, but we've simply have been bound by compatibility. I don't think anyone chose intentionally to keep the crap around; it was simply never worth it to pay the "break compatibility" cost, until now.
> PHP was a joke language from the start.... Cue the PHP fans telling me that "it's good now".
First, I am not a PHP fan, but I will absolutely stick up for the "its good now".
Yes, absolutely no debate the old PHP 4.x/5.x was shocking. However to give PHP their due, they absolutely did make serious efforts in 7.x/8.x. They deserve due recognition for that.
Unfortunately lots of people – I'm guessing you're one of them – still have battle-scars from 4.x/5.x and they think (incorrectly) that 7.x/8.x is "more of the same".
Second "joke language", well, cast your mind back to what else was available at the time... ColdFusion, CGI, ASPX ... it was not exactly a beautiful world back then.
Sure, to borrow your terminology, the Java fans will be along soon to tell us all how awesome Java is for the web. But many of us still bear battle-scars of the horrors of Java stacktraces, messing around with incomprehensible XML config files, Java's penchant for eating RAM for breakfast, and generally trying to figure out why the hell Tomcat is not working (again !).
Wait a second, in very recent years the major Java projects I touched were still messing around with incomprehensible XML config files. Has that actually changed in some part of the industry?
> Has that actually changed in some part of the industry?
I suspect the only thing that's changed is that Oracle now charge you for the pleasure. ;)
More seriously though, its been a long time since I've touched Java, but I suspect the only thing that's changed is that its all hidden in magical kubernetes containers these days.
I remember when that exact line of argument was made about '3/4 was silly, but they're putting a real effort into 5'
> HTTP, naughty bits
It's especially fun when not implementing the naughty bits is its own source of vulns. Your code is simpler and less prone to RCE, but your proxy mishandling or whatever allows for credential smuggling attacks, identity spoofing, request smuggling, cache poisoning, and all the normal issues at the application layer.
> we're not serious people
Absolutely. The industry could have moved towards safer languages, better coding methodology and formal verification years ago (see for example MISRA C as at least a partial movement in this direction). It didn't, because it was cheaper not to.
>to not address the root issues but just scaffold on top of them and try to hide the ugly bits under the carpet
It's totally the devs fault and not the environments devs have to work in. Deadlines forced down on you until you have to make compromises, 24/7 having to compete with people who actually don't care because you have to meet months end payments somehow. Whole businesses blinded by a tech gold rush.
>We're a clown industry.
I do agree here, but that includes every non dev person.
The people who set the deadlines are trying to stay competitive so there are contracts with clients so your salary can come from somewhere.
You forgot NPM. Whereby we download code from unknown authors on GitHub and run in with full access to our filesystem on our machines. No vulnerability, it's been designed like this, we even have designed scripts to autoupdate vulnerabilites, that's the proof that vulns are not common.
It's also introducing a new kind of technical debt much faster.
I think I doubled the amount of tempermanent fixes I pushed in my whole career just in the past two weeks.
In my opinion, the whole paradigm how we use computers needs to be replaced. It is like the 80s, but now with internet and a thread larger then anything in computer history before. I remember boot sector viruses and stuff.
My approach is https://tix.im/ - not launched yet. But from expedience: modeling everything as workflows of composeable nix flakes (expert systems from programs, skills, agents, workflows and their snippets, DBs blobs, service descriptions, ...) and then run everything in highly isolated environments. It is not only so much more efficient, reduces errors, increases quality, reduces unnecessary cognitive load, ...
I start to move more and more daily tasks into the systems. Even UI programs become interactive workflow steps, which allow me to attach from anywhere back to a task in an environment optimized for the task.
Dependency updates for example, a workflow. A subgraph from a security scanner expert checks each change in the dependency tree.
I don't mean to be that guy, but your website feels inscrutable to me. I know that a lot of that might be because it's written by an LLM, but the page seems like it's full of private language and is the product of a deep context conversation with your agent that I don't have enough context to understand.
>In my opinion, the whole paradigm how we use computers needs to be replaced.
>But from expedience: modeling everything as workflows
No thanks. I like private computing. I like all the fun stuff you can do with Computers. I'll never want agent based computers.
I'm personally not sharing the connotations of negativity towards software development and the term technical debt. I keep reading implications that most of this has always been in some way preventable, but it really is not that simple. How did nobody find these types of exploits 40 years ago? Why are we suddenly shocked and blame the field for this? I think the majority of people severely underestimate the complexity and seriousness of software. Once that perception stops and the economic incentives are right, we can start to look closer.
Just consider how laughable some working conditions in software are and then come to realize how architecture is shaped by the organization communication patterns and not reality. You will see it in a different light then.
personally have started going the other way: AI-assisted microkernels, and only the programming that is actually needed for the problem at hand
my webserver never needed a million lines of code just to pass bytes to other people
Earlier this year, the cybersecurity firm Calif offered to independently audit PHP, sponsored by OpenAI. Within two weeks, a researcher at Calif, aided by AI tools, found a way to use the out-of-memory bug to run arbitrary code on the host server, allowing a malicious actor to install malware or read critical data. Now, it was no longer a minor bug—it was a critical vulnerability, and the Calif team alerted the PHP foundation to start working on a patch immediately.
So, the headline should read,
"AI is helping us eliminate 40 years of technical debt."
Since AI found the bug, and probably also generated the patch at this point.
An abundance of solutions is a problem for people who sell solutions.
What's hillarious is people vibe coding massive AI apps thinking its not creating tech debt and security holes. If anything, AI is discovering existing holes, and creating them faster than ever before in history.
All those "paying down" technical debt with AI, I would advise reading the code _very_ carefully. Sometimes the "solution" which passes some test or adheres to some described functionality is incredibly narrow / brittle, and/or has failure cases that are non-obvious.
Yes I'm using $latest_model on high, its still not there. Unless your threshold for "fixed" is "the 1M line lean proof runs, we don't know how it works", it still requires a lot of attention, hand-holding, and scrutiny, especially when fixing issues / working around failures (where it tends to shortcut or invent workarounds).
I'm not going to lie, I'm having a great time thinking at the endless discussions around unsafe languages and the relentless smugness of many practitioners claiming everything was fine as long as the responsible and the skilled (them) were in charge; and let's not forget the formulaic "with great power comes great responsibility" closers.
Well now, Great Responsibles, it's clear you too were out of your collective depth and were all paying for your smug hubris. Perhaps take a bite out of that humble pie you've obviously never tasted?
And you know how are those technical debts created in the first place? More than 40 years of negligence in IT infrastructure.
We've patched more bugs and more vulnerabilities in the last 3 months than entire years at my last job.
I fear it's only going to get worse.
Worse?
Better you mean? Or are you saying you prefer having unfixed bugs?
I'm sure the NSA has an eye on the groups that are asking AI about security issues in various popular softwares ...
Better sooner than later, to be honest.
The real slop was the human slop we made along the way.
While we're at it, I'd appreciate easy secure authentication of a device without having to pull in a third party authentication provider. Thanks.
That's a weird way to say creating 40 years of technical debt per year.
Yeah but AI also helps in lowering the debt ...
The PHP2Shell incident highlights something important: AI is making it easier to discover vulnerabilities, but fixing legacy security issues still requires time, expertise, and resources.
For businesses, this is a reminder that cybersecurity cannot be treated as a one-time task. Regular updates, security audits, and responsible maintenance matter just as much as adopting new technology.
As professional communities become more connected, sharing technical knowledge and learning from security experts will become increasingly valuable. That's also why platforms like Lobox focus on bringing professionals together to exchange knowledge, build connections, and discover relevant communities.
The bigger question is: are organisations investing enough in fixing their existing technical debt before adopting more AI-powered systems?
The PHP situation was only particularly bad because (of the nature of the vulnerability, but also) the people handling it made some very inappropriate choices, like being way too attached to the embargo even once the complete reproduction was circulating publicly on Twitter. That's not inherent to the security patch process, and hopefully doesn't become the norm.
Keep in mind that every PHP application globally was advised to completely cut network access or entirely shut down until the patch was available, so this was global critical infrastructure failure. I'm surprised lives weren't lost as a result.
And no, from what I've seen, it had nothing to do with the few entities that did rightly ignore the embargo after the exploit was already being circulated, even though the PHP devs are seemingly still putting resources into spinning it that way.
I'm sure the defender community will eventually come up with a way to patch security vulnerabilities just about as fast as they can be discovered and exploited.