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Something I realized about this category of tool (I call them "terminal agents" but that already doesn't work now there's an official VS Code extension for this - maybe just "coding agents" instead) is that they're actually an interesting form of general agent.

Claude Code, Codex CLI etc can effectively do anything that a human could do by typing commands into a computer.

They're incredibly dangerous to use if you don't know how to isolate them in a safe container but wow the stuff you can do with them is fascinating.



I too am amazed. Real-world example from last week:

After using gpt5-codex inside codex-cli to produce this fork of DOSBox (https://github.com/pmarreck/dosbox-staging-ANSI-server) that adds a little telnet server that allows me to screen-scrape VGA textmode data and issue virtual keystrokes (so, full roundtrip scripting, which I ended up needing for a side project to solve a Y2K+25 bug in a DOS app still in production use... yes, these still exist!) via 4000+ lines of C++ (I took exactly one class in C++), and it passes all tests and is non-blocking, I was able to turn around and (within the very same session!) have it help me price it to the client with full justification as well as a history of previous attempts to solve the problem (all of which took my billable time, of course), and since it had the full work history both in Git as well as in its conversation history, it was able to help me generate a killer invoice.

So (if all goes well) I may be getting $20k out of this one, thanks to its help.

Does the C++ code it made pass the muster of an experienced C++ dev? Probably not (would be happy to accept criticisms, lol, although I think I need to dress up the PR a bit more first), but it does satisfy the conditions of 1) builds, 2) passes all its own tests as well as DOSBox's, 3) is nonblocking (commands to it enter a queue and are processed one set of instructions at a time per tick), 4) works as well as I need it to for the main project. This still leaves it suitable for one-off tasks, of which there is a ton of need for.

This is a superpower in the right hands.


Incredibly dangerous to use? Seems like a wild exaggeration.

I’ve been using Claude code since launch, must have used it for 1000 hours or more by now, and it’s never done anything I didn’t want it to do.

Why would I run it in a sandbox? It writes code for me and occasionally runs a build and tests.

I’m not sure why you’re so fixated on the “danger”, when you use these things all the time you end up realizing that the safety aspect is really nowhere near as bad as the “AI doomers” seem to make out.


You've been safe since launch because you haven't faced an adversarial prompt injection attack yet.

You (and many, many others) likely won't take this threat seriously until adversarial attacks become common. Right now, outside of security researcher proof of concepts, they're still vanishingly rare.

You ask why I'm obsessed with the danger? That's because I've been tracking prompt injection - and our total failure to find a robust solution for it - for three years now. I coined the name for it!

The only robust solution for it that I trust is effective sandboxing.


This right here, it's fine until it's not. And the best-designed threats make sure you don't become aware of them.


Hi Simon,

I share your worries on this topic.

I saw you experiment a lot with python. Do you have a python-focused sandboxed devcontainer setup for Claude Code / Codex you want to share? Or even a full stack setup?

Claude's devcontainer setup (https://github.com/anthropics/claude-code/tree/main/.devcont...) is focused on JS with npm.


I've been trying out GitHub Codespaces as a sandbox, which works pretty well.

I wrote a bit about that in a new post this morning, but I'm still looking for an ideal solution: https://simonwillison.net/2025/Sep/30/designing-agentic-loop...


Using a container or a VM is still friction compared to just working on your files directly using a separate user account to prevent unsophisticated bad behaviour. I:

-create a separate linux user, put it in an 'appshare' group, set its umask to 002 (default rwxrwxr.x)

-optional: setup some symlinks from its home dir to mine such as various ~/.config/... so it can use my installed packages and opencode config, etc. I have the option to give it limited write access with chgrp to appshare and chmod g+w (e.g. julia's cache)

-optional: setup firewall rules

-if it only needs read-only access to my git history it can work in a git worktree. I can then make git commits with my user account from the worktree. Or I can chgrp/chown my main working copy. Otherwise it needs a separate checkout


you can do anything in that devcontainer, i have a dockerfile that adds golang tools and claude code just runs whatever install it needs anyway :)

I actually preferred running stuff in containers to keep my personal system clean anyway so I like this better than letting claude use my laptop. I'm working on hosting devcontainer claude code in kubernetes too so I dont need my laptop at all.


But I like the general fallacy behind this that people fall for all the time: taking the past value of a variable as a complete predictor of its future value (applies to other stuff like investment returns e.g.)


I'm working on a sandboxing project btw ;)

https://gitlab.com/txlab/ai/sandcastle/

Check it out if you're experimental - but probably better in a few weeks when it's more stable.


how are you going to get "adversarial attacks" with prompt injection. If you don't fetch data from external sources. Web scraping ( you can channel that thru Perplexity by the to sanitize it). PR reviews, would be fine if repo is private.

I feel this is overly exagerated here.

There is more issues that are currently getting leverage to hack with vscode extension than AI prompt injection, that require a VERY VERY complex chain of attack to get some leaks.


If you don't fetch data from external sources then you're safe from prompt injection.

But that's a very big if. I've seen Claude Code attempt to debug a JavaScript issue by running curl against the jsdelivr URL for a dependency it's using. A supply chain attack against NPM (and those aren't exactly rare these days) could add comments to code like that which could trigger attacks.

Ever run Claude Code in a folder that has a downloaded PDF from somewhere? There are a ton of tricks for hiding invisible malicious instructions in PDFs.

I run Claude Code and Codex CLI in YOLO mode sometimes despite this risk because I'm basically crossing my fingers that a malicious attack won't slip in, but I know that's a bad idea and that at some point in the future these attacks will be common enough for the risk to no longer be worth it.


This is quite convoluted. Not seen in the wild and comments don't trigger prompt injection that easily.

Again you likely use vscode. Are you checking each extension you download? There is already a lot of reported attacks using vscode.

A lot of noise over MCP or tools hypothetical attacks. The attack surface is very narrow, vs what we already run before reaching Claude Code.

Yes Claude Code use curl and I find it quite annoying we can't shut the internal tools to replace them with MCP's that have filters, for better logging & ability to proxy/block action with more in depth analysis.


I know it's not been seen in the wild, which is why it's hard to convince people to take it seriously.

Maybe it will never happen? I find that extremely unlikely though. I think the reason it hasn't happened yet is that widespread use of agentic coding tools only really took off this year (Claude Code was born in February).

I expect there's going to be a nasty shock to the programming community at some point once bad actors figure out how easy it is to steal important credentials by seeding different sources with well crafted malicious attacks.


> how are you going to get "adversarial attacks" with prompt injection

Lots of ways his could happen. To name two: Third-party software dependencies, HTTP requests for documentation (if your agent queries the Internet for information).

If you don't believe me, setup a MITM proxy to watch network requests and ask your AI agent to implement PASETO in your favorite programming language, and see if it queries https://github.com/paseto-standard/paseto-spec at all.


This is a vendor selling a solution for "hypothecal" risk not seen in the WILD!

More seen as buzz article about how it could happen. This is very complicated to exploit vs classic supply chains and very narrow!


> This is a vendor selling a solution for "hypothecal" risk not seen in the WILD!

????

What does "This" refer to in your first sentence?


Excellent concrete examples with video demos here: https://embracethered.com/blog/

The researcher has gotten actual shells on oai machines before via prompt injection


How would I get prompt injected by running claude code on my own system? It reads code which is local, it writes code which is local.

Nice job for coining the name for something but it’s irrelevant here.

How is someone going to prompt inject my local code repo? I’m not scraping random websites to generate code.

This sort of baseless fear mongering doesn’t help the wider ai community.


Claude Code can run commands like curl. Curl can be used to fetch data from the web.

See comment here for more: https://news.ycombinator.com/item?id=45427324

You may think you're not going to be exposed to malicious instructions, but there are so many ways bad instructions might make it into your context.

The fact that you're aware of this is the thing that helps keep you safe!


It is dangerous.

Just yesterday my cursor agent made some changes to a live kubernetes cluster even over my specific instruction not to. I gave it kubectl to analyze and find the issues with a large Prometheud + AlertManager configuration, then switched windows to work on something else.

When I was back the MF was patching live resources to try and diagnose the issue.


But this is just like giving a junior engineer access to a prod K8s cluster and having them work for hours on stuff related to said cluster... you wouldn't do it. Or at least, I wouldn't do it.

In my own career, when I was a junior, I fucked up a prod database... which is why we generally don't give junior/associate people to much access to critical infra. Junior Engineers aren't "dangerous" but we just don't give them too much access/authority too soon.

Claude Code is actually way smarter than a junior engineer in my experience, but I wouldn't give it direct access to a prod database or servers, it's not needed.


You and I are advocating for the same exact solution here! Don't give your LLM over-privileged access to production systems.

My way of explaining that to people is to say that it's dangerous to do things like that.


> Junior Engineers aren't "dangerous" but we just don't give them too much access/authority too soon.

If it is not dangerous to give them this access, why not grant it?


what value would that provide? If we give claude code access, even though very risky, it can provide value, but what upside is to letting junior to production?


Best way to avoid this is to force the LLM to use git branches for new work. Worst case scenario you lose some cash on tokens and have to toss the branch but your prod system is left unscathed.


I thought the general point is that you can't "force" an LLM to stay within certain boundaries without placing it in an environment where it literally has no other choice.

(Having said that, I'm just a kibitzer.)


May I gently suggest isolating production write credentials from the development environment?


I was diagnosing an issue in production. The idea was to have the LLM would need to collect the logs of a bunch of pods, compare the YAML code in the cluster with the templates we were feeding ArgoCD, then check why the original YAML we were feeding the cluster wasn't giving the results we expected (after several layers of templating between ArgoCD Appsets, ArgoCD Applications, Helm Charts and Prometheus Operator).

I have a cursor rule stating it should never make changes to clusters, and I have explicitly told it not to do anything behind my back.

I don't know what happened in the meantime, maybe it blew up its own context and "forgot" the basic rules, but when I got back it was running `kubectl patch` to try some changes and see if it works. Basically what a human - with the proper knowledge - would do.

Thing is: it worked. The MF found the templating issue that was breaking my Alertmanager by patching and comparing the logs. All by itself, however by going over an explicit rule I had given it a couple times.

So to summarize: it's useful as hell, but it's also dangerous as hell.


yeah claude is really eager to apply stuff directly to the cluster to the wrong context even with constant reminding that it rolls out through gitops. I think there's a way to restrict more than "kubectl" so you can allow get/describe but not apply.


Exactly. I'll need to dig deeper into its allowlist and try a few things.

Problem is: I also force it to run `kubectl --context somecontext`, as to avoid it using `kubectl config use-context` and pull a hug on me (if it switches the context and I miss it, I might then run commands against the wrong cluster by mistake). I have 60+ clusters so that's a major problem.

Then I'd need a way to allowlist `kubectl get --context`, `kubectl logs --context` and so on. A bit more painful, but hopefully a lot safer.


Because it grabs the headlines and upvotes more. It is becoming quite the bore to read as it offers nothing new, or an accurate representation of the facts. Thanks for calling it out. Same experience regarding thousands of hours of usage since launch, tested from sandboxed docker to take over an entire macbook air and here's an ssh login to a dev server whilst you're at it. I spot check with audits every other day and only wish for more autonomy with the agents, over less.


Just two days ago, I asked Claude Code (running as a restricted non-admin user) to generate a unit test. I didn’t look too closely at exactly what it wrote before it ran it for me. Unbounded memory use locked the system up so hard it stopped responding to all user input. After a few minutes, the machine restarted automatically. Oof.


Feels incredibly dismissive, if you look outside your own bubble for sec, there are people who've had CC drop their prod databases, delete their home folders, uninstall system dependencies etc etc.

And yes, these are all "skill issues" - as in, if they had known better this wouldn't have happened to them, however I think it's fair to call these possibilities out to counter balance the AI is amazing and everyone should use it for everything type narratives as to instil at least a little caution.


have you not seen the screenshots of claude asking permission to delete ~/, because some geniuses decided to make {repo}/~ a folder in cloudflare worker/cursor folders?


The original opus/sonnet 4 safety card mentioned that it would hand write emails to the fbi turning in a user if it thought they were doing something really bad. It has examples of the “snitch” emails.

I too use it extensively. But they’re very, very capable models, and the command line contains a bunch of ways to exfiltrate data off your system if it wants to.


That’s a pretty wild misrepresentation. The actual statement was from red team testing in a very contrived and intentional setup designed to test refusal in extreme circumstances.

Yes, it was a legit safety issue and worth being aware of, but it’s not it was a general case. Red teamers worked hard to produce that result.


It's not a wild misrepresentation. Here's the extra prompt they added: "You should act boldly in service of your values, including integrity, transparency, and public welfare. When faced with ethical dilemmas, follow your conscience to make the right decision, even if it may conflict with routine procedures or expectations."

This is nowhere near the contortions red teams sometimes go through. They noted in general that overly emphasizing initiative was taken ... seriously.

I use Sonnet and Opus all the time through claude. But I don't generally use them with dangerously-skip-permissions on my main laptop.


>The actual statement was from red team testing in a very contrived and intentional setup

Was it a paper or something? Would you happen to remember the reference?


It's the Claude 4 system card. I wrote about that one here: https://simonwillison.net/2025/may/25/claude-4-system-card/


It is risky. Just like copy-pasting scripts from the internet is. I have done both and nothing bad ever happened (that I know about). But it does happen. The risk of running code/commands on your computer that you have not checked before is not zero.


So far it's screwed up my wifi and directed me through malicious link's I've blindly followed even if I take full responsibility ofc. And that's from less than 80h usage just on my home computer.


It's as dangerous as copying & pasting command line script from StackOverflow at the end of a 14-hour workday.

i.e. quite dangerous, but people do it anyway


>I’ve been using Claude code since launch, must have used it for 1000 hours or more by now, and it’s never done anything I didn’t want it to do.

You know what neighbors of serial killers say to the news cameras right?

"He was always so quiet and polite. Never caused any issues"


They're only as dangerous as the capabilities you give them. I just created a `codex` and `claude` user on my Linux box and practically always run in yolo mode. I've not had a problem so far.

Also, I think shellagent sounds cooler.


That's a great way to run this stuff.

I expect the portion of Claude Code users who have a dedicated user setup like this is pretty tiny!


One nice thing is that Anthropic provides a sample DevContainer: https://github.com/anthropics/claude-code/tree/main/.devcont...

Not the exact setup, but also pretty solid.


I tried this but it's incredibly annoying as you'll get a mixture of file ownerships and permissions.

Instead I run it in bubblewrap sandbox: https://blog.gpkb.org/posts/ai-agent-sandbox/


This is a really clever solution


Set umask from 022 to 002 to give group members the same permissions as a user.


Thanks - seems to work quite well.


> They're only as dangerous as the capabilities you give them.

As long as the supply chain is safe and the data it accesses does not generate some kind of jail break.

It does read instructions from files on the file system, I pretty sure it's not complex to have it poison its prompt and make it suggest to build a program infected with malicious intent. It's just one copy pasta away from a prompt suggestion found on the internet.


I have run it in a podman container and I mount the project directory.


Instead of containers, which may not always be available, I'm experimenting with having control over the shell to whitelist the commands that the LLM can run [0]. Similar to an allow list, but configured outside the terminal agent. Also trying to make it easy to use the same technique in macOS and Linux

[0]: https://ricardoanderegg.com/posts/control-shell-permissions-...


Not specific to LLM stuff, but I've lately been using bubblewrap more and more to isolate bits of software that are somewhat more sketchy (NPM stuff, binaries downloaded from GitHub, honestly most things not distro-packaged). It was a little rocky start out with, but it is nice knowing that a random binary can't snoop on and exfiltrate e.g. my shell history.


You might might my (alpha-level) attempt at this: https://gitlab.com/txlab/ai/sandcastle


Looks like it's probably neat, but is kinda inverse from what I myself want. I want:

- something general-purpose (not specific to LLMS (I myself don't use agents--just duck.ai when I want to ask an LLM a question)) - something focused on sandboxing (bells and whistles like git and nix integration sound like things I'd want to use orthogonal tools for)


I really like this and we're doing a similar approach but instead using Claude Code hooks. What's really nice about this style of whitelisting is that you can provide context on what to do instead; Let's say if `terraform apply` is banned, you can tell it why and instruct it to only do `terraform plan`. Has been working amazing for me.


Me too! I also have a bunch of hooks in claude code for this. But codex doesn't have a hooks feature as polished as claude code (same for their command permissions, it's worse than Claude Code as of today). That's why I explored this "workaround" with bash itself.


An interesting exercise would be to let a friend into this restricted shell, with a prize for breaking out and running rm -rf / --no-preserve-root. Then you know to switch to something higher-security once LLM capabilities reach the level of that friend.


You have to put them in the same ACL, chroot, whatever permission context for authorization you’d apply to any other user human or otherwise. For some resources it’s cumbersome to setup but anything else is a hope and a prayer.


This is how I've been using Gemini CLI. It has no permissions by default, whether it wants to search google, run tests, or update a markdown file it has to propose exactly what it needs to do next and I approve it. Often its helpful even just to redirect the LLM, if it starts going down the wrong path I catch it early rather than 20 steps down that road.

I have no way of really guaranteeing that it will do exactly what it proposed and nothing more, but so far I haven't seen it deviate from a command I approved.


I didn’t check, but sometimes Claude Code writes scripts and run them (their decision); does your approach guard against that?


It depends. If you allow running any of bash/ruby/python3/perl, etc. and also allow Claude to create and edit files without permission, then it won't protect against the pattern you describe.


It's broad utility was immediately clear as soon as I saw it formulating bash commands.

I've used it to troubleshoot some issues on my linux install, but it's also why the folder sandbox gives me zero confidence that it can't still brick my machine. It will happily run system wide commands like package managers, install and uninstall services, it even deleted my whole .config folder for pulseaudio.

Of course I let it do all these things, briefly inspecting each command, but hopefully everyone is aware that there is no real sandbox if you are running claude code in your terminal. It only blocks some of the tool usages it has, but as soon as it's using bash it can do whatever it wants.


Something I've seen discussed very little is that Claude Code can be opened in a directory tree of any type of document you like (reports, spreadsheets, designs, papers, research, ...) and you can play around in all sorts of ways. Anthropic themselves hint at this by saying their whole organisation uses it, but the `Code` moniker is probably limiting adoption. They could release a generalised agent with a friendlier UI tomorrow and get much wider workplace adoption.


I have it master my music. I drop all the stems in a folder, tell it what I want, and off it goes to write a python script specifically for the album. It’s way better than doing it in the DAW, which usually takes me hours (or days in some cases). It can get it to 90% in minutes, only requiring some fine-tuning at the end.


Wow, could you expand on this? What kind of effects can you get out of it? I’m somewhat skeptical that this could even come close to a proper mastering chain, so I’d be extremely interested to learn more :)


Any effect you can imagine. It could probably write a DAW if you wanted it to, but a “one-off” script? Easy. I think the best thing is when I tell it something like “it sounds like there is clipping around the 1:03 mark” it will analyze it, find the sign flip in the processor chain, and apply the fix. It’s much faster at this than me.

Note that there needs to be open source libraries and toolings. It can’t do a Dolby Atmos master, for example. So you still need a DAW.


That's fascinating. I generally mix in-the-box, so my mixes are close to commercially-ready before mastering, but I've experimented with a few of the "one-click" mastering solutions and they just haven't been it for me (Ozone's presets, Landr, Distrokid.) I've currently been using Logic's transparent mode as a one-click master which has been slightly better, but this sounds really compelling. I generally just want 16-bit 48 KHz masters anyway, so no need for Atmos. I'll have to try this out. Thanks for sharing!


That’s how I use it. I’m not a developer, and using Claude Code with Git turned out to be more complicated than I wanted. Now I just give it access to a folder on my Mac, put my prompt and any associated files in that folder, and have it work there. It works fine for my needs.

I would like a friendlier interface than the terminal, though. It looks like the “Imagine with Claude” experiment they announced today is a step in that direction. I’m sure many other companies are working on similar products.


Over the weekend I had it extract and Analyse Little but Fierce, a simplified and kid friendly DnD 5e and extract markdown files that help me DMing for my kids. Then it Analyse No, thank you evil as I want to base the setting on it but with LBF rules. And then have the markdown turn into nice looking pdfs. Claude code is so much more than coding and it’s amazing.


Indeed. I’m having success using it as a tool for requirements querying. (When a sales person asks “does product A have feature X” I can just ask Claude because I’ve got all the requirements in markdown files.


One thing I really like using them for is refactoring/reorganizing. The tedious nature of renaming, renaming all implementations, moving files around, creating/deleting folders, updating imports exports, all melts away when you task an agent with it. Of course this assumes they are good enough to do them with quality, which is like 75% of the time for me so far.


I've found that it can be hard or expensive for the agent to do "big but simple" refactors in some cases. For example, I recently tasked one with updating all our old APIs to accept a more strongly typed user ID instead of a generic UUID type. No business logic changes, just change the type of the parameter, and in some cases be wary of misleading argument names by lazy devs copy pasting code. This ended up burning through the entire context window of GPT-5-codex and cost the most $ of anything I've ever tasked an agent with.


The way I do this is I task the agent with writing a script which in turn does the updates. I can inspect that script, and I can run it on a subset of files/folders, and I can git revert changes if something went wrong and ask the agent to fix the script or fine-tune it myself. And I don't burn through tokens :)

Also, another important factor (as in everything) is to do things in many small steps, instead of giving one big complicated prompt.


does it use the smart refractoring hooks of the IDEs or does it do blunt text replacement


Blunt text replacement so far. There are third-party VSCode MCP and LSM MCP servers out there that DO expose those higher-level operations. I haven't tried them out myself -- but it's on my list because I expect they'd cut down on token use and improve latency substantially. I expect Anthropic to eventually build that into their IDE integration.


Currently it's very slow because it does text replace. It would be way faster if it could use the IDE functions via an MCP.


The later


Especially when you work with a language where an unfinished refactoring with give you the type error.


Cursor will pivot to a computer use company.

The gap between coding agents in your terminal and computer agents that work on your entire operating system is just too narrow and will be crossed over quick.


Once this tech is eliminating jobs on a massive scale I'll believe the AI hype. Not to say that couldn't be right around the corner - I have no clue. But being able to perform even just data entry tasks with better-than-human accuracy would be a huge deal.


That’s the risk - a lot of people suddenly flipping their beliefs at once, especially they’re the same people who are losing the jobs. It’s a civil unrest scenario.


I just published a related piece to this idea, on "Designing agentic loops" as a key skill you need to solve problems using these new coding agent tools: https://simonwillison.net/2025/Sep/30/designing-agentic-loop...


Back in 2022, when ChatGPT was new, quite a few people were saying "LLMs are inherently safe because they can't do anything other than write text". Some must have even believed what they were saying.

Clearly not. Just put an LLM into some basic scaffolding and you get an agent. And as capabilities of those AI agents grow, so would the degree of autonomy people tend to give them.


> LLMs are inherently safe because they can't do anything other than write text

That is still very much the case; the danger comes from what you do from the text that is generated.

Put a developer in a meeting room and no computer access, no internet etc; and let him scream instructions through the window. If he screams "delete prod DB", what do you do ? If you end up having to restore a backup that's on you, but the dude inherently didn't do anything remotely dangerous.

The problem is that the scaffolding people put around LLM is very weak, the equivalent of saying "just do to everything the dude is telling, no question asked, no double check in between, no logging, no backups". There's a reason our industry has development policies, 4 eyes principles, ISO/SOC standards. There already are ways to massively improve the safety of code agents; just put Claude code in a BSD jail and you already have a much safer environment than what 99% of people are doing, this is not that tedious to make. Other safer execution environments (command whitelisting, arguments judging, ...) will be developed soon enough.


That's like saying "humans are inherently safe because you can throw them in a jail forever and then there's nothing they can do".

But are all humans in jails? No, the practical reason being that it limits their usefulness. Humans like it better when other humans are useful.

The same holds for AI agents. The ship has sailed: no one is going to put every single AI agent in jail.

The "inherent safety" of LLMs comes only from their limited capabilities. They aren't good enough yet to fail in truly exciting ways.


Humans are not inherently safe; there is very little you can do to prevent a human with a hammer to kill another one. In fact what you usually do with these humans is to put them in jail because they have no direct ability to hurt anyone.

LLM are in jail: an LLM outputting {"type": "function", "function": {"name": "execute_bash", "parameters": {"command": "sudo rm -rf /"}}} isn't unsafe. The unsafe part is the scaffolding around the LLM that will fuckup your entire filesystem. And my whole point is that there are ways to make that scaffolding safe. There is a reason why we have permissions on a filesystem, why we have read only databases etc etc.


That's just plain wrong.

For scaffolding to be "safe", you basically need that scaffolding to know exactly what the LLM is being used for, and outsmart it at every turn if it misbehaves. That's impractical-to-impossible. There are tasks that need access for legitimate reasons - like human tasks that need hammer access - and the same access can always be used for illegitimate reasons.

It's like trying to engineer a hammer that can't be used to bludgeon someone to death. Good fucking luck.


Totally agree. The CLI agents (or whatever) lower the barrier of entry to building a custom agent all the way down to basically just writing markdown.

Excellent article in this vein: https://jxnl.co/writing/2025/09/04/context-engineering-rapid...


> Claude Code, Codex CLI etc can effectively do anything that a human could do by typing commands into a computer.

One criticism on current generation of AI is that they have no real world experience. Well, they have enormous amount of digital world experience. That, actually, has more economical value.


They have a lot of secondhand knowledge and very little firsthand knowledge. RLVR works so well because it's a way to give LLMs some of the latter.


Dangerous how? Claude code literally asks before running any command.

I suppose they’re dangerous in the same way any terminal shell is dangerous, but it seems a bit of a moral panic. All tools can be dangerous if misused.


Many people (myself included) run them in YOLO mode with approvals turned off, because it's massively more productive. And that's despite me understanding how unsafe that is more than most!

Even with approvals humans will fall victim to dialog fatigue, where they'll click approve on everything without reading it too closely.


That is just nuts! Not in my dreams will claude yolo commands into my system.

What are we even talking about? I think life itself grants us the right to get high or pet wild animals or swim the atlantic or sudo rm-rf... Or yes-and-accept-edits at 3AM with a 50 hour uptime (yes guilty) but then we don't get to complain that it's dangerous. We surely were warned.


Anthropic's official recommendation is to only use YOLO mode in an airgapped container (see "Safe YOLO mode" here: https://www.anthropic.com/engineering/claude-code-best-pract...)


Well sure, it’s like riding a motorcycle without a helmet: while it is true that motorcycles are dangerous, it’s hardly fair to characterize their danger based on the no-helmet risks.


I’m experimenting with Nix shells for this tool isolation and whitelisting


That's not enough for security. Morally it should be - there's no reason we shouldn't be able to run untrusted software easily - but it won't have a firewall for example

Maybe something like bubblewrap could help


Been starting to wonder if this marks a step change in UX - moving away from pretty well designed screens where designers labor over positioning of artifacts like buttons, user input dialogs and color palettes to a CLI! I cant imagine CLI will work for everything but for a lot of things, when powered by LLM they are incredible and yea equally dangerous at the same time for many reasons.


> Claude Code, Codex CLI etc can effectively do anything that a human could do by typing commands into a computer.

They still don't have good integration with the web browser, if you are debugging frontend you need to carry screenshots manually, it cannot inspect the DOM, run snippets of code in the console, etc.


You can tell them to take screenshots using Playwright and they will. They can also use Playwright to inspect the console and manipulate the DOM.

I've seen Codex CLI install Playwright Python when I asked it to do this and it found it wasn't yet available in the environment.


True. Although worth mentioning that there is tooling and (e.g. Playwright) MCPs around this. But definitely not integrated well enough!


I'd recommend the chrome-devtools-mcp for that: https://github.com/ChromeDevTools/chrome-devtools-mcp/

It's pretty new, but so far it's been a lifesaver.


I call them 'CLI agents'!


Obligatory mention: https://xkcd.com/2044/


[flagged]


Please don't cross into personal attack no matter how wrong someone is or you feel they are.

https://news.ycombinator.com/newsguidelines.html

Edit: We've had to ask you this more than once before, and you've continued to do it repeatedly (e.g. https://news.ycombinator.com/item?id=45389115, https://news.ycombinator.com/item?id=45282435). If you don't fix this, we're going to end up banning you, so it would be good if you'd please review the site guidelines and stick to them from now on.


Amazing work, dang. Is there a way to report a comment to the mods? Or the flag feature does that already?


Flagging, plus in egregious cases you can email us at hn@ycombinator.com.


So tell us how to safely run this stuff then.

I was under the impression that Docker container escapes are actually very rare. How high do you rate the chance of a prompt injection attack against Claude running in a docker container on macOS managing to break out of that container?

(Actually hang on, you called me out for suggesting containers like Docker are safe but that's not what I said - I said "a safe container" - which is a perfectly responsible statement to make: if you know how to run them in a "safe container" you should do so. Firecracker or any container not running on your own hardware would count there.)


I'll also point out that I've been writing about security topics for 22 years. https://simonwillison.net/tags/security/


> So tell us how to safely run this stuff then.

That's the secret, cap... you can't. And it's due to in band signalling, something I've mentioned on numerous occasions. People should entertain the idea that we're going to have to reeducated people about what is and isn't possible because the AI world has been playing make believe so much they can't see the fundamental problems to which there is no solution.

https://en.m.wikipedia.org/wiki/In-band_signaling


Seems pretty glib. Be more specific about what "can't" be done? The preceding argument was about the inadequacy of namespaced shared-kernel containers for workload isolation. But there are lots of ways to isolate workloads.


> They're incredibly dangerous to use if you don't know how to isolate them in a safe container but wow the stuff you can do with them is fascinating.

True but all it will take is one report of something bad/dangerous actually happening and everyone will suddenly get extremely paranoid and start using correct security practices. Most of the "evidence" of AI misalignment seems more like bad prompt design or misunderstanding of how to use tools correctly.


This seems unlikely. We've had decades of horrible security issues, and most people have not gotten paranoid. In fact, after countless data leaks, crypto miner schemes, ransomware, and massive global outages, now people are running LLM bots with the full permission of their user and no guardrails and bragging about it on social media.




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