It's just a mental compartmentalization thing for me. When I want to get into slack/signal chatting mode or read messages I load such an app and look/interact. When I'm not doing that I don't want to be bothered with messages. I'm already sacrificing a portion of my life to work related tasks and being in front of a computer at many hours, when I'm not in that mode I don't want to be interrupted - people who need to reach me in an emergency have other ways to get ahold of me.
Personally, I have multiple messaging apps. I have notifications on for work slack, which is high signal, and I have notifications off for personal discord which is noisy and low priority.
I disable notifications on every app that is not on the critical path to me earning a living. Notifications are largely unnecessary. Either you are actively engaged with something, in which case you didn't need the notification, or you are doing something else and don't need the distraction, in which case you didn't need the notification. Only my employer gets a right to demand my time during work hours, which is why notifications are enabled during work hours for work apps.
We as a society have gotten way too comfortable expecting every single person to be available at all times to provide us some kind of immediate response. Let people live. If I'm hiking through the woods with my camera doing bird photography, even if you're my best friend you can wait until I get back to my car and manually check my messages, I don't need a notification. If it's an emergency, dial my number and call me, which will make my phone ring. Novel concept, I know.
For any tool, you want to measure the productivity gains, not the usage of the tool itself. Are these companies really that bad at measuring the work that gets done? You don't care how many times the hammer was used. You care that the house got built and the time it took to build it at what level of quality.
In practice digital effects haven’t approached being convincing the way practical effects do. In many cases, especially when used liberally, digital effects still clock as amazing digital effects rather than reality. It can be enjoyable but I don’t see what would move forward other than recognizing cgi isnt the best solution for everything.
This is not true, you just don't notice the vast majority of effects. You sit down to watch a summer blockbuster, there are 1000 shots that have been altered, pretty much anything that isn't two people talking in a room.
The advertising tries to tell you "we did everything practical!", it's always a lie and you believe it.
This comment doesn't respond to what I actually said. I said that heavy-handed CGI tends to read as CGI. You responded by "informing" me that more nuanced CGI is commonplace. Everybody knows that.
That's not at all what you said in your first comment, this is a total back pedal.
Let's forget for a second that "heavy handed cgi" is tautological because it wouldn't look "heavy handed" if it looked real, and forgetting that some things like energy beams have no analogue in real life so are obviously effects.
You said "digital effects haven’t approached being convincing the way practical effects do" and the truth is this isn't true at all, you just don't know that you're seeing digital effects and you think you're looking at photography or something practical.
Almost any useful innovation is going to have a right tail of people who overhype it. They shouldn't, and I wish they wouldn't. But if your strategy for evaluating new ideas is to find the biggest sources of hype and fact check them, you're going to systematically undervalue innovation.
The problem is that many care more about presentation than substance. The irony gets overwhelming where boring is usually the best solution and the least exciting.
The code has a stated goal of avoiding leaks, but then the actual implementation becomes broader than that. I see two possible explanations:
* The authors made the code very broad to improve its ability to achieve the stated goal
* The authors have an unstated goal
I think it's healthy to be skeptical but what I'm seeing is that the skeptics are pushing the boundaries of what's actually in the source. For example, you say "says on the tin" that it "pretends to be human" but it simply does not say that on the tin. It does say "Write commit messages as a human developer would" which is not the same thing as "Try to trick people into believing you're human." To convince people of your skepticism, it's best to stick to the facts.
By "says on the tin," I was referring to the name ("undercover mode") and the instruction to "not blow your cover." If pretending to be a human is not the cover here, what is? Additionally, does Claude code still admit that it's a LLM when this prompt is active as you suggest, or does it pretend to be a human like the prompt tells it to?
I think this is a false dichotomy. Maybe there is some theoretical developer who cares about their craft only due to platonic idealism, but most developers who care about their craft want their code to be correct, fast, maintainable, usable, etc. in ways that do indeed benefit its users. At worst, misalignment in priorities can come into play, but it's much more subtle than developers either caring or not caring about craft.
The name "Undercover mode" and the line `The phrase "Claude Code" or any mention that you are an AI` sound spooky, but after reading the source my first knee-jerk reaction wouldn't be "this is for pretending to be human" given that the file is largely about hiding Anthropic internal information such as code names. I encourage looking at the source itself in order to draw your conclusions, it's very short: https://github.com/alex000kim/claude-code/blob/main/src/util...
The feature seems pretty obviously for Anthropic employees who are using unreleased models internally and do not want to leak any details in public commit messages.
That seems desirable? Like that's what commit messages are for. Describing the change. Much rather that than the m$ way of putting ads in commit messages
The commit message should complement the code. Ideally, what the code does should not need a separate description, but of course there can be exceptions. Usually, it's more interesting to capture in the commit message what is not in the code: the reason why this approach was chosen and not some other obvious one. Or describe what is missing, and why it isn't needed.
That sounds like design discussions best had in the issue/ticket itself, before you even start writing code. Then the commit message references the ticket and has a brief summary of the changes.
Writing and reading paragraphs of design discussion in a commit message is not something that seems common.
Ticket systems are quite ephemeral. I still have access to commit messages from the 90s (and I didn't work on the software at the time). I haven't been able to track the contents of the gnats bug tracker from those days.
And of course tickets can be private, so even if the data survived migration, you may not have access to it (principle of least privilege and all that).
if you've changed a function and are worried about the reason for the change not being tracked or disappearing, then add it as a comment, the commit message is not the place for this.
Not really about design, but technical reasons why this solution came to be when it’s not that obvious. It’s not often needed. And when it does, it usually fits in a short paragraph.
What you're describing here is a design. The most important parts of a design are the decisions and their reasoning.
e.g. "we decided on tool/library pattern X over tool/library/pattern Y because Z" – that is a design, usually discussed outside (and before) a commit message.
You discuss these decisions with others, document the discussion and decision, and then you have a design and can start writing code.
Let me ask you this: suppose you have a task that needs to be done eventually, and you want to write down some ideas for it, but don't want to start coding right now. Where do you put those ideas? How do you link them to that specific task?
So you'd disagree with style that Linux uses for their commits?
Random example:
Provide a new syscall which has the only purpose to yield the CPU after the
kernel granted a time slice extension.
sched_yield() is not suitable for that because it unconditionally
schedules, but the end of the time slice extension is not required to
schedule when the task was already preempted. This also allows to have a
strict check for termination to catch user space invoking random syscalls
including sched_yield() from a time slice extension region.
I think my post makes it pretty clear that I would. If you want, I could cite several examples of organizations which use the method I described, so you can weigh it against the one example you provided, and get the full picture.
In your example, for example, where was the issue tracked before the code was written? The format you linked makes it difficult to get the history of the issue.
Let me ask you this: suppose you have a task that needs to be done eventually, and you want to write down some ideas for it, but don't want to start coding right now. Where do you put those ideas? How do you link them to that specific task?
Everyone has its own system although companies do tend to codify it with a project manager. I used TODO.txt inside the repo. an org file, Things.app, a stack of papers, and a whiteboard. But once a task is done, I can summarize the context in a paragraph or two. That’s what I put in the commits.
Git was built for email, because that's the system Linux uses. Commits appear inline. Diffs are reviewed and commented inline.
Email is the review process, and commits contain enough information that git blame can get you a reasoning - it doesn't require you checking the email archive. Rather than a dead ticket that no longer exists.
I can also supply you a list of companies that make use of git's builtin features if you like. But thats probably not relevant to discussing management techniques.
Unfortunately GitHub Copilot’s commit message generation feature is very human. It’s picked up some awful habits from lazy human devs. I almost always get some pointless “… to improve clarity” or “… for enhanced usability” at the end of the message.
VS Code has a setting that promises to change the prompt it uses to generate commit messages, but it mostly ignores my instructions, even very literal ones like “don’t use the words ‘enhance’ or ‘improve’”. And oddly having it set can sometimes result in Cyrillic characters showing up at the end of the message.
Ultimately I stopped using it, because editing the messages cost me more time than it saved.
Honestly the aggressive verbosity of github copilot is half the reason don't use its suggested comments. AI generated code comments follow an inverted-wadsworth-constant: Only the first 30% is useful.
As opposed to outputting debugging information, which I wouldnt be surprised if LLMs do output "debug" output blurbs which could include model specific information.
The human developer would just write what the code does, because the commit also contains an email address that identifies who wrote the commit. There's no reason to write:
> Commit f9205ab3 by dkenyser on 2026-3-31 at 16:05:
> Fixed the foobar bug by adding a baz flag - dkenyser
Because it already identified you in the commit description. The reason to add a signature to the message is that someone (or something) that isn't you is using your account, which seems like a bad idea.
Aside from merges that combine commits from many authors onto a production branch or release tag. I would personally not leave an agent to do that sort of work.
Which is funny given how many workplaces are requiring developers use AI, measuring their usage, and stack ranking them by how many tokens they burn. What I want is something that I can run my human-created work product through to fool my employer and its AI bean counters into thinking I used AI to make it.
I guess that would work until they started auditing your prompts. I suppose you could just have a background process on your workstation just sitting there Clauding away on the actual problem, while you do your development work, and then just throw away the LLM's output.
Undercover mode seems like a way to make contributions to OSS when they detect issues, without accidentally leaking that it was claude-mythos-gigabrain-100000B that figured out the issue
In my view an unappreciated benefit of the vanilla setup is you can get really accustomed to the model’s strengths and weaknesses. I don’t need a prompt to try to steer around these potholes when I can navigate on my own just fine. I love skills too because they can be out of the way until I decide to use them.
My experience is that Sonnet can be a bit verbose and prompting it to be more succinct is tricky. On the other hand, Opus out of the box will give me a one word answer when appropriate, in Claude Code anyway.
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