Comment by dgellow
17 hours ago
The world is so not ready for the impact of LLMs on security issues. If true, congrats to the Calif team. It’s likely too technical for me to understand in details but looking forward to reading the 55 pages report
17 hours ago
The world is so not ready for the impact of LLMs on security issues. If true, congrats to the Calif team. It’s likely too technical for me to understand in details but looking forward to reading the 55 pages report
> The world is so not ready for the impact of LLMs on security issues.
I agree, but it's the people I'm worried about.
I'm hearing anecdotes from all over about devs pushing LLM-generated code changes into production without retaining any knowledge of what it is they're pushing. The changes compound, their understanding of the codebase diminishes, and so the actions become risker.
What's worse is a lot of this behavior is being driven by leaders, whether directly (e.g. unrealistic velocity goals, promoting people based on hand-wavy "use AI" initiatives, etc) or indirectly (e.g. layoffs overloading remaining devs, putting inexperienced devs in senior rolls, etc).
The world's gone mad and large swaths of the industry seem hellbent on rediscovering the security basics the hard way.
The gamble is that you can cruise on the senior engineer’s diminishing understanding for a few years until models become good enough that you don’t need any humans in the loop and you can fire all those expensive seniors.
The tragedy is having a bunch of those senior engineers writing blog posts and what not of how productive they are, without realising that it means business now needs less of them.
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>I'm hearing anecdotes from all over about devs pushing LLM-generated code changes into production without retaining any knowledge of what it is they're pushing. The changes compound, their understanding of the codebase diminishes, and so the actions become risker.
No anecdotes needed, it's entirely happening.
But it's also devs, being devs.
is this exciting?
juniors have been writing code forever that is imperfect and not memorized by the people reviewing
isnt the important thing the mechanisms for maintaining the code?
The difference is twofold. First, junior devs who ask for code reviews on massive, 2000+ line diffs get coached, and eventually fired if they persist at it. And second, even the most prolific junior engineer would take years to write what Claude is capable of generating in an afternoon.
When Sundar Pichai announces that 75% of all new code at Google is AI-generated, their stock price goes up. If he were to announce that 75% of all new code at Google is now written by junior engineers, this would trigger a massive sell-off and a lot of employees would resign.
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The dangers of technical debt and the importance of mitigating it have been known for a long time. Unfortunately a lot of entities now ignore all experience and best practices as soon as you say the "AI" buzzword.
> I'm hearing anecdotes from all over about devs pushing LLM-generated code changes into production without retaining any knowledge of what it is they're pushing. The changes compound, their understanding of the codebase diminishes, and so the actions become riskier.
I don’t think so.
An LLM can produce higher-quality documentation than most humans. If it's not already happening, when a new developer joins a team, they're going to have an LLM produce any documentation a new developer needs, including why certain decisions were made.
It could also summarize years of email threads and code reviews that, let's face it, a new person wouldn’t be able to ingest anyway; it's not like a new developer gets to take a week off to get caught up on everything that happened before they got there. English not their first language? Well, the LLM can present the information in virtually any language required.
As the models continue to improve, they'll spot patterns in the code that a human wouldn’t be able to see.
> An LLM can produce higher-quality documentation than most humans.
Can bears some heavy weight.
LLM generated documentation has so low level of information density, that it’s useless. Yes, it writes nice sentences… or even writes. But it contains so much noise that currently, reading code is a better documentation than what I’ve seen from every single LLM generated documentation.
The same with LLM generated articles. I close them after the second sentence because at least about 90% of it is useless filler.
Now compare that to this: https://slate.com/technology/2004/11/the-death-of-the-last-m...
I almost closed it when I read the first few sentences because these kinds of articles are useless time wasting nonsenses. But this was different. This was old. Most sentences contained something new. Something worthy. (Of course, people also write unnecessary long articles… looking at you Atlantic)
You can throw out almost everything by volume from LLM generated documentation without loosing any information.
Currently, if I smell (and it’s very easy to smell) LLM generated documentation or article, then I close it immediately, because it’s good for only one thing: wasting my time, for no good reason.
It's not just about documentation.
If stuff really goes wrong, you need people who deeply understand the codebase so that they know where to look and how to diagnose the issue. It might be the case in the future that LLMs become so powerful they'll diagnose any issue (I doubt it), but until then, we need people in the loop.
you're assuming that blue teams and engineers are sitting around twiddling their thumbs
Most companies in the world do not have “blue teams”. They barely have any kind of security employee.
They've got a guy (who they're considering laying off)
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Apple definitely does.
That is actually unfair. Most companys spend enormous amounts on security with vast armys of security employees. Not that it is effective, but it is not for lack of resources or trying.
I mean we are literally in a thread about how the 4 trillion dollar company, literally the 3rd most valuable company in the world, with a core competency in software has, yet again, released a core product riddled with security defects for the 50th year in a row.
Commercial IT security is a industry that is incapable to a fault and has, so far, faced basically zero consequences for it.
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While maybe true, it is better to back that up with data and the data I know of and read yearly is mostly not great. Between Splunk and SANS surveys of 2025 maybe ~2000 companies have a SOC. [1] [2]
Then you have the many companies in the UK, US, Canada, EU that have compliance and regulatory laws that require them to exist in some capacity in house. Though that is changing with MDR services, but someone still has to interface with the MDR.
[1]: https://www.elastic.co/pdf/sans-soc-survey-2025.pdf [2]: https://github.com/jacobdjwilson/awesome-annual-security-rep...
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Not at all. I’m considering that the amount of vulnerable software in the wild is very, very large, with most organizations not managing their systems properly. Imagine all the small to medium size companies that do not have budgets for a dedicated, talented security team. And all the software that will never be patched. We are at the beginning of the exponential
> I’m considering that the amount of vulnerable software in the wild is very, very large
I'd imagine this set is very similar to just "the set of software on the world". Even before the AI stuff, it was a pretty good bet at any given software had some vulnerability; it was just a question of how easy to was to find it.
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It makes you think will everything need to be rewritten from the ground up - potentially by AI itself, or AI having a very heavy hand in validating all of it.
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