I’m seeing this more and more, where people build this artificial wall you supposedly need to climb to try agentic coding. That’s not the right way to start at all. You should start with a fresh .claude, empty AGENTS.md, zero skills and MCP and learn to operate the thing first.
I'd also go even further and say that you likely should never install ANY skill that you didn't create yourself (i mean, guided claude to create it for you works too), or "forked" an existing one and pulled only what you need.
Everyone's workflow is different and nobody knows which workflow is the right one. If you turn your harness into a junk drawer of random skills that get auto updated, you introduce yet another layer of nondeterminism into it, and also blow up your context window.
The only skill you should probably install instead of maintaining it yourself is playwright-cli, but that's pretty much it.
This matters for big engineering teams who want to put _some_ kind of guardrails around Claude that they can scale out.
For example, I have a rule [^0] that instructs Claude to never start work until some pre-conditions are met. This works well, as it always seems to check these conditions before doing anything, every turn.
I can see security teams wanting to use this approach to feel more comfortable about devs doing things with agentic tools without worrying _as much_ about them wreaking havoc (or what they consider "havoc").
As well, as someone who's just _really_ getting started with agentic dev, spending time dumping how I work into rules helped Claude not do things I disapprove of, like not signing off commits with my GPG key.
That said, these rules will never be set in stone, at least not at first.
This article isn't saying you must set up a big .claude folder before you start. It repeats several times that it's important to start small and keep it short.
It's also not targeted at first-timers getting their first taste of AI coding. It's a guide for how to use these tools to deal with frustrations you will inevitably encounter with AI coding.
Though really, many of the complaints about AI coding on HN are written by beginners who would also benefit from a simple .claude configuration that includes their preferences and some guidelines. A frequent complaint from people who do drive-by tests of AI coding tools before giving up is that the tools aren't reading their mind or the tools keep doing things the user doesn't want. Putting a couple lines into AGENTS.md or the .claude folder can fix many of those problems quickly.
Yes, but as soon as you start checking in and sharing access to a project with other developers these things become shared.
Working out how to work on code on your own with agentic support is one thing. Working out how to work on it as a team where each developer is employing agentic tools is a whole different ballgame.
1. Provision of optional tools: I may use an ai agent differently to all other devs on a team, but it seems useful for me to have access to the same set of project-specific commands, skills & MCP configs that my colleagues do. I amn't forced to use them but I can choose to on a case by case basis.
2. Guardrails: it seems sensible to define a small subset of things you want to dissuade everyone's agents from doing to your code. This is like the agentic extension of coding standards.
Most people do, most people don’t have wildly different setups do they? I’d bet there’s a lot in common between how you write code and how your coworkers do.
In my own group, agentic coding made sharing and collaboration go out the window because Claude will happily duplicate a bunch of code in a custom framework
I think the idea is that by creating these shared .claude files, you tell the agent how to develop for everyone and set shared standards for design patterns/architecture so that each user's agents aren't doing different things or duplicating effort.
In my AGENTS.md I have two lines in almost every single one:
- Under no condition should you use emoji's.
- Before adding a new function, method or class. Scan the project code base, and attached frame works to verify that something else can not be modified to fit the needs.
I'm curious about the token usage when it scans across multiple repositories to finding similar methods. As our code grows so fast, is it sustainable ?
Who is building an artificial wall? Maybe I skimmed the post too fast, but it doesn't seem like this information is being presented as "you have to know/do this before you start agentic engineering", just "this is some stuff to know."
I totally agree with you that this not the right way to start. But, in my experience, the more you use the tool the more of a "feel" you get for it, and knowing how all these different pieces work and line up can be quite useful (though certainly not mandatory). It's been immensely frustrating to me how difficult it is to find all this info with all the low-quality junk that is out there on the internet.
> all the low-quality junk that is out there on the internet.
Isn't this article just another one in that same drawer?
> What actually belongs in CLAUDE.md - Write: - Import conventions, naming patterns, error handling styles
Then just a few lines below:
> Don’t write: - Anything that belongs in a linter or formatter config
The article overall seems filled with internal inconsistencies, so I'm not sure this article is adding much beyond "This is what an LLM generated after I put the article title with some edits".
I agree with most of this, with one important exception: you should have some form of sandboxing in place before running any local AI agent. The easiest way to do that is with .claude/settings.json[0].
This is important no matter how experienced you are, but arguable the most important when you don't know what you're doing.
0: or if you don't want to learn about that, you can use Claude Code Web
The part about permissions with settings.json [0] is laughable. Are we really supposed to list all potential variations of harmful commands? In addition to the `Bash(cat ./.env)`, we would also need to add `Bash(cat .env)`, Bash(tail ./.env)`, Bash(tail .env)`, `Bash(head ./.env)`, `Bash(sed '' ./.env)`, and countless others... while at the same time we allow something like `npm` to run?
I know the deny list is only for automatically denying, and that non-explicitly allowed command will pause, waiting for user input confirmation. But still it reminds me of the rationale the author of the Pi harness [1] gave to explain why there will be no permission feature built-in in Pi (emphasis mine):
> If you look at the security measures in other coding agents, *they're mostly security theater*. As soon as your agent can write code and run code, it's pretty much game over. [...] If you're uncomfortable with full access, run pi inside a container or use a different tool if you need (faux) guardrails.
As you mentioned, this is a big feature of Claude Code Web (or Codex/Antigravity or whatever equivalent of other companies): they handle the sand-boxing.
How did you contain Claude Code? Did you virtualize it? I just set up a simple firejail script for it. Not completely sure if it's enough but it's at least something.
You can download the devcontainer CLI and use it to start a Docker container with a working Claude Code install, simple firewall, etc. out of the box. (I believe this is how the VSCode extension works).
Let's not fool ourselves here. If a security feature adds any amount of friction at all, and there's a simple way to disable it, users will choose to do so.
.claude has become the new dotfiles. And what do people do when they want to start using dotfiles ? they copy other’s dotfiles and same is happening here :)
with Anthropic already starting to sell "Claude Certified Architect" exams and a "Partner Network Program", I think a lot of this stuff is around building a side industry on top of it unfortunately
Nice! Article didn't mention but ~/.claude/plans is where it stores plan md file when running in plan mode. I find it useful to open or backup plans from the directory.
I wish all model providers would converge on a standard set of files, so I could switch easily from Claude to Codex to Cursor to Opencode depending on the situation
Issue is that both harness and specific model matters a lot in what type of instruction works best, if you were to use Anthrophic's models together with the best way to do prompting with Codex and GPT models, you'd get a lot worse results compared to if you use GPT models with Codex, prompted in the way GPTs react best to them.
I don't think people realize exactly how important the specific prompts are, with the same prompt you'd get wildly different results for different models, and when you're iterating on a prompt (say for some processing), you'd do different changes depending on what model is being used.
Having experimented with soft-linking AGENTS.md into CLAUDE.md and GEMINI.md, this lines up well with my experience. I now just let each time maintain it's own files and don't try to combine them. If it's something like my custom "## Agent Instructions" then I just copy-pasta and it's not been hard, and since that section is mostly identical I just treat AGENTS.md as the canonical and copy/paste any changes over to the others.
I think one of the main examples that i saw in a swyx article a while back is that using the sort of ALL CAPS and *IMPORTANT* language that works decently with claude will actually detune the codex models and make them perform worse. I will see if I can find the post
The real wall I never see people talking about is, yes, you can tell Claude to update whatever file you want, but you have to be aware that if it's .claude/INSTRUCTIONS.md or CLAUDE.md that you need to tell Claude to re-read those files because it wrote the contents but its not treating it as if it were fresh instructions, it will run off whatever the last time it read that file was, so if it never existed, it will not know. I believe Claude puts those instructions in a very specific part of its context window.
Claude Fast has very good alternate documentation for this. [0] I don't understand the hate for defining .claude/ . It is quite easy to have the main agent write the files. Then rather doing one shot coding, instead iterate quickly updating .claude/ I'm at the point where .claude/ makes copies of itself, performs the task, evaluates, and updates itself. I'm not coding code, I'm coding .claude/ which does everything else. This is also a mechanism for testing .claude, agents, and instructions which would be useful for sharing and reuse in an organization.
The claim that "whatever you write in CLAUDE.md, Claude will follow" is doing a lot of heavy lifting. In practice CLAUDE.md is a suggestion, not a contract. Complex tasks and compaction will dilute the use of CLAUDE.md, especially once the context window runs out.
This is correct. All of these .md files are just blobs of text that the LLM matches against. They might increase the likelihood of something happening or not happening.
They look to me like people actually want to build deterministic workflows, but blobs of text are the wrong approach for that. The right tool is code that controls the agent through specific states and validates the tool calls step by step.
I think this does a great job of explaining the .claude directories in a beginner friendly way. And I don’t necessarily read it as “you have to do all this, before you start”.
It has a few issues with outdated advice (e.g. commands has been merged with skills), but overall I might use share it with co-workers who needs an introduction to the concept.
So that's what "software engineering" has become nowadays ? Some cargo cult basically. Seriously all of this gives red flag. No statements here are provable. It's just like langhchain that was praised and then everyone realized it's absolute dog water. Just like MCP too. The job in 2026 is really sad.
I think I'm finding a pretty good niche for myself honestly. IMO, Software engineering is more so splitting into different professions based on the work is produces.
This sort of "prompt and pray" flow really works for people, as in they can make products and money, however, I do think the people that succeed today also would've reached for no-code tools 5 years ago and seen similar success. It's just faster and more comprehensive now. I think the general theme of the products remains the same though; not un-important or worthless, but it tends to be software that has effects that say INSIDE the realm of software. I feel like there's always been a market for that, as it IS important, it's just not WORTH the time and money to the right people to "engineer" those tools. A lot of SaaS products filled that niche for many years.
While it's not a way I want to work, I am also becoming comfortable with respecting that as a different profession for producing a certain brand of software that does have value, and that I wasn't making before. The intersection of that is opportunity I'm missing out on; no fault to anyone taking it!
The software engineer that writes the air traffic avoidance system for a plane better take their job seriously, understand every change they make, and be able to maintain software indefinitely. People might not care a ton about how their sales tracking software is engineered, but they really care about the engineering of the airplane software.
I think this is mostly right. The primary difference is that with no code you had to change platforms, but the Prompt and Pray method can be brought to bear on any software easily even the air traffic avoidance system.
It shouldn’t be, but it’s going to take some catastrophic events to convince people that we have to work to make sure we understand the systems we’re building and keep everything from devolving into vibe coded slop.
> the Prompt and Pray method can be brought to bear on any software easily even the air traffic avoidance system.
I guess that's why I see it as a separate profession, as in we have to actually profess a standard for how a professional in our field acts and believes. I think it's OK for it to bifurcate into two different fields, but Software Engineering would need to specifically reject prompt-and-pray on a principled and rational basis.
Sadly yes, that might require real cost to life in order to find out the "why" side of that rational basis. If you meet anyone that went to an engineering school in Québec, ask them about the ceremony they did and the ring they received. [0] It's not like that ceremony fixes anything, but it's a solemn declaration of responsibility which to me at least, sets a contract with society that says "we won't make things that harm you".
Is there a completely free coding assistant agent that doesn't require you to give a credit card to use it?
I recently tried IntelliJ for Kotlin development and it wanted me to give a credit card for a 30 day trial. I just want something that scans my repo and I tell it the changes I want and it does it. If possible, it would also run the existing tests to make sure its changes don't break anything.
There are lots! Too many to cover in a single HN comment, and this space is evolving rapidly so I encourage you to look around.
While the coding assistants are pretty much universally free, you still need to connect them to a model. The model tokens generally cost something once you've gone past a certain quota.
I'm not sure if this is still true, but if you have a Google account, Gemini Code Assist had a quite generous "free tier" that I used for a while and found it do be pretty decent.
Completely tangential, but can we please stop putting one million files at the root of the project which have nothing to do with the project? Can we land on a convention like, idk, a `.meta` folder (not the meta company, the actual word), or whatever, in which all of these Claude.md, .swift-version, Code-of-Conduct.md, Codeowners, Contributing.md, .rubocop.yml, .editorconfig, etc. files would go??
If these different agents could agree on a standard location that would be great. The specs are almost the same for .github and Claude but Claude won't even look at the .github location.
There already is, it's ~/.agents and you use symlinks for .claude, and the dir structure is pretty similar and anything you want to reuse across models is pretty standardized, just not formalized.
The .claude folder structure reminds me of how Terraform organizes state files. Smart move putting conversation history in Json rether than some propiertary format, makes it trivial to grep through old conversations or build custom analysis tools.
Here's a question that I hope is not too off-topic.
Do people find the nano-banana cartoon infographics to be helpful, or distracting? Personally, I'm starting to tire seeing all the little cartoon people and the faux-hand-drawn images.
I haven't come around any AI generated imagery in documents / slides that adds any value. It's more the opposite, they stand out like a sore thumb and often even reduce usability since text cannot be copied. Oh and don't get me started on leadership adding random AI generated images to their emails just to show that they use AI.
But they had already lost me at all the links, and the fact there's not a red wire through the entire article.
The first thing my eyes skimmed was:
> CLAUDE.md: Claude’s instruction manual
> This is the most important file in the entire system. When you start a Claude Code session, the first thing it reads is CLAUDE.md. It loads it straight into the system prompt and keeps it in mind for the entire conversation.
No it's not. Claude does not read this until it is relevant. And if it does, it's not SOT. So no, it's argumentatively not the most important file.
Are you certain? My understanding was that this is automatically injected in the context, and in my experience that's how it worked. I never see 'ReadFile(claude.md)', and yet claude is aware of some conventions I put in there.
Maybe. But I kind of view LinkedIn as a social network for people who only by the grace of a couple better decisions are talking about real business and not multilevel marketing schemes… but otherwise use the same themes and terminologies.
Like mostly people who have confused luck and success, or business acumen for religion.
So I wouldn’t use LinkedIn as a positive data point of what’s hot.
> Clutter is the disease of American writing. We are a society strangling in unnecessary words, circular constructions, pompous frills and meaningless jargon.
> Look for the clutter in your writing and prune it ruthlessly. Be grateful for everything you can throw away. Reexamine each sentence you put on paper. Is every word doing new work? Can any thought be expressed with more economy?
Most of the time I find them distracting, and sometimes a huge negative on the article. In this particular article though, they're well done and relevant, and I think they add quite a bit. It's a highly personal opinion kind of thing though for sure.
Some of the others, I don’t feel like added value, but I agree that these are some of the best of a practice that I agreed does not add a ton of value typically
I am a victim of AI-documentation-slop at work, and the result is that I've become far more "Tuftian" in my preferences than ever before. In the past, I was a fan of beautiful design and sometimes liked nice colors and ornaments. Now, though, I've a fan of sparse design and relevant data (not information -- lots of information is useless slop). I want content that's useful and actionable, and the majority of the documents many of my peers create using Claude, Gemini or ChatGPT are fluffy broadsheets of irrelevant filler, rarely containing insights and calls-to-action.
>Claude Code users typically treat the .claude folder like a black box. They know it exists. They’ve seen it appear in their project root. But they’ve never opened it, let alone understood what every file inside it does.
I know we are living in a post-engineering world now, but you can't tell me that people don't look at PRs anymore, or their own diffs, at least until/if they decide to .gitignore .claude.
I don't. I have Claude do all my PR reviews, running in a daily loop in the morning. The truth is an LLM is better at code review than the average programmer.
I'm a senior engineer who has been shipping code since before GitHub and PR reviews was a thing. Thankfully LLMs have freed me from being asked to read other people's shit code for hours every day.
The fuck? What's next, configuring maven and pom.xml? At least XML is unambiguous, well specified, and doesn't randomly refuse to compile 2% of the time..
I’m seeing this more and more, where people build this artificial wall you supposedly need to climb to try agentic coding. That’s not the right way to start at all. You should start with a fresh .claude, empty AGENTS.md, zero skills and MCP and learn to operate the thing first.
I'd also go even further and say that you likely should never install ANY skill that you didn't create yourself (i mean, guided claude to create it for you works too), or "forked" an existing one and pulled only what you need.
Everyone's workflow is different and nobody knows which workflow is the right one. If you turn your harness into a junk drawer of random skills that get auto updated, you introduce yet another layer of nondeterminism into it, and also blow up your context window.
The only skill you should probably install instead of maintaining it yourself is playwright-cli, but that's pretty much it.
This matters for big engineering teams who want to put _some_ kind of guardrails around Claude that they can scale out.
For example, I have a rule [^0] that instructs Claude to never start work until some pre-conditions are met. This works well, as it always seems to check these conditions before doing anything, every turn.
I can see security teams wanting to use this approach to feel more comfortable about devs doing things with agentic tools without worrying _as much_ about them wreaking havoc (or what they consider "havoc").
As well, as someone who's just _really_ getting started with agentic dev, spending time dumping how I work into rules helped Claude not do things I disapprove of, like not signing off commits with my GPG key.
That said, these rules will never be set in stone, at least not at first.
[^0]: https://github.com/carlosonunez/bash-dotfiles/blob/main/ai/c...
This article isn't saying you must set up a big .claude folder before you start. It repeats several times that it's important to start small and keep it short.
It's also not targeted at first-timers getting their first taste of AI coding. It's a guide for how to use these tools to deal with frustrations you will inevitably encounter with AI coding.
Though really, many of the complaints about AI coding on HN are written by beginners who would also benefit from a simple .claude configuration that includes their preferences and some guidelines. A frequent complaint from people who do drive-by tests of AI coding tools before giving up is that the tools aren't reading their mind or the tools keep doing things the user doesn't want. Putting a couple lines into AGENTS.md or the .claude folder can fix many of those problems quickly.
Yes, but as soon as you start checking in and sharing access to a project with other developers these things become shared.
Working out how to work on code on your own with agentic support is one thing. Working out how to work on it as a team where each developer is employing agentic tools is a whole different ballgame.
But why is it different? Why does it need to be? I don't write code the same as other devs so why would/should I use AI the same?
Is this a hangover from when the tools were not as good?
I'd see this as being useful for two reasons:
1. Provision of optional tools: I may use an ai agent differently to all other devs on a team, but it seems useful for me to have access to the same set of project-specific commands, skills & MCP configs that my colleagues do. I amn't forced to use them but I can choose to on a case by case basis.
2. Guardrails: it seems sensible to define a small subset of things you want to dissuade everyone's agents from doing to your code. This is like the agentic extension of coding standards.
> I don't write code the same as other devs
Most people do, most people don’t have wildly different setups do they? I’d bet there’s a lot in common between how you write code and how your coworkers do.
I bet there's a lot more consistency now that AI can factor in how things are being done and be guided on top of that too.
In my own group, agentic coding made sharing and collaboration go out the window because Claude will happily duplicate a bunch of code in a custom framework
I think the idea is that by creating these shared .claude files, you tell the agent how to develop for everyone and set shared standards for design patterns/architecture so that each user's agents aren't doing different things or duplicating effort.
In my AGENTS.md I have two lines in almost every single one: - Under no condition should you use emoji's. - Before adding a new function, method or class. Scan the project code base, and attached frame works to verify that something else can not be modified to fit the needs.
I'm curious about the token usage when it scans across multiple repositories to finding similar methods. As our code grows so fast, is it sustainable ?
Who is building an artificial wall? Maybe I skimmed the post too fast, but it doesn't seem like this information is being presented as "you have to know/do this before you start agentic engineering", just "this is some stuff to know."
Seems maybe you're just not the target audience for this article.
I totally agree with you that this not the right way to start. But, in my experience, the more you use the tool the more of a "feel" you get for it, and knowing how all these different pieces work and line up can be quite useful (though certainly not mandatory). It's been immensely frustrating to me how difficult it is to find all this info with all the low-quality junk that is out there on the internet.
> all the low-quality junk that is out there on the internet.
Isn't this article just another one in that same drawer?
> What actually belongs in CLAUDE.md - Write: - Import conventions, naming patterns, error handling styles
Then just a few lines below:
> Don’t write: - Anything that belongs in a linter or formatter config
The article overall seems filled with internal inconsistencies, so I'm not sure this article is adding much beyond "This is what an LLM generated after I put the article title with some edits".
I agree with most of this, with one important exception: you should have some form of sandboxing in place before running any local AI agent. The easiest way to do that is with .claude/settings.json[0].
This is important no matter how experienced you are, but arguable the most important when you don't know what you're doing.
0: or if you don't want to learn about that, you can use Claude Code Web
The default sandboxing works fine for me. It asks before running any command, and I can whitelist directories for reading and non-compound commands.
That's not a sandbox.
The part about permissions with settings.json [0] is laughable. Are we really supposed to list all potential variations of harmful commands? In addition to the `Bash(cat ./.env)`, we would also need to add `Bash(cat .env)`, Bash(tail ./.env)`, Bash(tail .env)`, `Bash(head ./.env)`, `Bash(sed '' ./.env)`, and countless others... while at the same time we allow something like `npm` to run?
I know the deny list is only for automatically denying, and that non-explicitly allowed command will pause, waiting for user input confirmation. But still it reminds me of the rationale the author of the Pi harness [1] gave to explain why there will be no permission feature built-in in Pi (emphasis mine):
> If you look at the security measures in other coding agents, *they're mostly security theater*. As soon as your agent can write code and run code, it's pretty much game over. [...] If you're uncomfortable with full access, run pi inside a container or use a different tool if you need (faux) guardrails.
As you mentioned, this is a big feature of Claude Code Web (or Codex/Antigravity or whatever equivalent of other companies): they handle the sand-boxing.
[0] https://blog.dailydoseofds.com/i/191853914/settingsjson-perm...
[1] https://mariozechner.at/posts/2025-11-30-pi-coding-agent/#to...
Do people really run claude and other clis like this outside a container??
How did you contain Claude Code? Did you virtualize it? I just set up a simple firejail script for it. Not completely sure if it's enough but it's at least something.
The official Claude Code repo is configured use a devcontainer config:
https://github.com/anthropics/claude-code
You can download the devcontainer CLI and use it to start a Docker container with a working Claude Code install, simple firewall, etc. out of the box. (I believe this is how the VSCode extension works).
I‘m using https://www.docker.com/products/docker-sandboxes/
Better isolation than running it in a container.
Let's not fool ourselves here. If a security feature adds any amount of friction at all, and there's a simple way to disable it, users will choose to do so.
.claude has become the new dotfiles. And what do people do when they want to start using dotfiles ? they copy other’s dotfiles and same is happening here :)
with Anthropic already starting to sell "Claude Certified Architect" exams and a "Partner Network Program", I think a lot of this stuff is around building a side industry on top of it unfortunately
Operate == me send https post and pray for the best
That's the goal, keep spending tokens and claim you are super productive because of it
Nice! Article didn't mention but ~/.claude/plans is where it stores plan md file when running in plan mode. I find it useful to open or backup plans from the directory.
I wish all model providers would converge on a standard set of files, so I could switch easily from Claude to Codex to Cursor to Opencode depending on the situation
Issue is that both harness and specific model matters a lot in what type of instruction works best, if you were to use Anthrophic's models together with the best way to do prompting with Codex and GPT models, you'd get a lot worse results compared to if you use GPT models with Codex, prompted in the way GPTs react best to them.
I don't think people realize exactly how important the specific prompts are, with the same prompt you'd get wildly different results for different models, and when you're iterating on a prompt (say for some processing), you'd do different changes depending on what model is being used.
Having experimented with soft-linking AGENTS.md into CLAUDE.md and GEMINI.md, this lines up well with my experience. I now just let each time maintain it's own files and don't try to combine them. If it's something like my custom "## Agent Instructions" then I just copy-pasta and it's not been hard, and since that section is mostly identical I just treat AGENTS.md as the canonical and copy/paste any changes over to the others.
Are there any good guides on how to write prompt files tailored to different agents?
Would also be interested in examples of a CLAUDE.md file that works well in Claude, but works poorly with Codex.
I think one of the main examples that i saw in a swyx article a while back is that using the sort of ALL CAPS and *IMPORTANT* language that works decently with claude will actually detune the codex models and make them perform worse. I will see if I can find the post
Agree, for now im using dotagents by sentry to handle a lot of this.
And why would they ever let switch?
Interoperability means that people could switch to them as well
The real wall I never see people talking about is, yes, you can tell Claude to update whatever file you want, but you have to be aware that if it's .claude/INSTRUCTIONS.md or CLAUDE.md that you need to tell Claude to re-read those files because it wrote the contents but its not treating it as if it were fresh instructions, it will run off whatever the last time it read that file was, so if it never existed, it will not know. I believe Claude puts those instructions in a very specific part of its context window.
Claude Fast has very good alternate documentation for this. [0] I don't understand the hate for defining .claude/ . It is quite easy to have the main agent write the files. Then rather doing one shot coding, instead iterate quickly updating .claude/ I'm at the point where .claude/ makes copies of itself, performs the task, evaluates, and updates itself. I'm not coding code, I'm coding .claude/ which does everything else. This is also a mechanism for testing .claude, agents, and instructions which would be useful for sharing and reuse in an organization.
[0] https://claudefa.st/blog/guide/mechanics/claude-md-mastery
The claim that "whatever you write in CLAUDE.md, Claude will follow" is doing a lot of heavy lifting. In practice CLAUDE.md is a suggestion, not a contract. Complex tasks and compaction will dilute the use of CLAUDE.md, especially once the context window runs out.
This is correct. All of these .md files are just blobs of text that the LLM matches against. They might increase the likelihood of something happening or not happening.
They look to me like people actually want to build deterministic workflows, but blobs of text are the wrong approach for that. The right tool is code that controls the agent through specific states and validates the tool calls step by step.
I think this does a great job of explaining the .claude directories in a beginner friendly way. And I don’t necessarily read it as “you have to do all this, before you start”.
It has a few issues with outdated advice (e.g. commands has been merged with skills), but overall I might use share it with co-workers who needs an introduction to the concept.
huh neat, somehow completely missed out on the rules/ + path filters as a way to extend CLAUDE.md
So that's what "software engineering" has become nowadays ? Some cargo cult basically. Seriously all of this gives red flag. No statements here are provable. It's just like langhchain that was praised and then everyone realized it's absolute dog water. Just like MCP too. The job in 2026 is really sad.
I think I'm finding a pretty good niche for myself honestly. IMO, Software engineering is more so splitting into different professions based on the work is produces.
This sort of "prompt and pray" flow really works for people, as in they can make products and money, however, I do think the people that succeed today also would've reached for no-code tools 5 years ago and seen similar success. It's just faster and more comprehensive now. I think the general theme of the products remains the same though; not un-important or worthless, but it tends to be software that has effects that say INSIDE the realm of software. I feel like there's always been a market for that, as it IS important, it's just not WORTH the time and money to the right people to "engineer" those tools. A lot of SaaS products filled that niche for many years.
While it's not a way I want to work, I am also becoming comfortable with respecting that as a different profession for producing a certain brand of software that does have value, and that I wasn't making before. The intersection of that is opportunity I'm missing out on; no fault to anyone taking it!
The software engineer that writes the air traffic avoidance system for a plane better take their job seriously, understand every change they make, and be able to maintain software indefinitely. People might not care a ton about how their sales tracking software is engineered, but they really care about the engineering of the airplane software.
I think this is mostly right. The primary difference is that with no code you had to change platforms, but the Prompt and Pray method can be brought to bear on any software easily even the air traffic avoidance system.
It shouldn’t be, but it’s going to take some catastrophic events to convince people that we have to work to make sure we understand the systems we’re building and keep everything from devolving into vibe coded slop.
> the Prompt and Pray method can be brought to bear on any software easily even the air traffic avoidance system.
I guess that's why I see it as a separate profession, as in we have to actually profess a standard for how a professional in our field acts and believes. I think it's OK for it to bifurcate into two different fields, but Software Engineering would need to specifically reject prompt-and-pray on a principled and rational basis.
Sadly yes, that might require real cost to life in order to find out the "why" side of that rational basis. If you meet anyone that went to an engineering school in Québec, ask them about the ceremony they did and the ring they received. [0] It's not like that ceremony fixes anything, but it's a solemn declaration of responsibility which to me at least, sets a contract with society that says "we won't make things that harm you".
[0] https://ironring.ca/home-en/
> prompt and pray
This is a brilliant reimagining of the old and trusted PnP acronym.
When was it not a cargo cult?
Is there a completely free coding assistant agent that doesn't require you to give a credit card to use it?
I recently tried IntelliJ for Kotlin development and it wanted me to give a credit card for a 30 day trial. I just want something that scans my repo and I tell it the changes I want and it does it. If possible, it would also run the existing tests to make sure its changes don't break anything.
https://news.ycombinator.com/item?id=47533611
It is fun to use.
Just found out this and will watch myself:
https://www.youtube.com/watch?v=0RLIlNWv1xo
There are lots! Too many to cover in a single HN comment, and this space is evolving rapidly so I encourage you to look around.
While the coding assistants are pretty much universally free, you still need to connect them to a model. The model tokens generally cost something once you've gone past a certain quota.
I'm not sure if this is still true, but if you have a Google account, Gemini Code Assist had a quite generous "free tier" that I used for a while and found it do be pretty decent.
Gemini Code Assist has a free tier.
You log in with your Goggle account.
Qwen code has a free tier
Opencoder is bring your own model.
You get what you pay for so good luck.
Completely tangential, but can we please stop putting one million files at the root of the project which have nothing to do with the project? Can we land on a convention like, idk, a `.meta` folder (not the meta company, the actual word), or whatever, in which all of these Claude.md, .swift-version, Code-of-Conduct.md, Codeowners, Contributing.md, .rubocop.yml, .editorconfig, etc. files would go??
I was glad when linux went with the .config standard for most dotfiles.
If these different agents could agree on a standard location that would be great. The specs are almost the same for .github and Claude but Claude won't even look at the .github location.
There already is, it's ~/.agents and you use symlinks for .claude, and the dir structure is pretty similar and anything you want to reuse across models is pretty standardized, just not formalized.
The .claude folder structure reminds me of how Terraform organizes state files. Smart move putting conversation history in Json rether than some propiertary format, makes it trivial to grep through old conversations or build custom analysis tools.
Claude itself will grep through old conversations so it’s handy that Claude understands too
Here's a question that I hope is not too off-topic.
Do people find the nano-banana cartoon infographics to be helpful, or distracting? Personally, I'm starting to tire seeing all the little cartoon people and the faux-hand-drawn images.
Wouldn't Tufte call this chartjunk?
I haven't come around any AI generated imagery in documents / slides that adds any value. It's more the opposite, they stand out like a sore thumb and often even reduce usability since text cannot be copied. Oh and don't get me started on leadership adding random AI generated images to their emails just to show that they use AI.
> Oh and don't get me started on leadership adding random AI generated images to their emails just to show that they use AI
Feels like generated AI art like this is modern clipart
It may be survivorship bias, you only notice the AI ones that are bad.
Yeah there are almost certainly times when it is gen ai and you just didn’t notice.
When I see AI images, I skip them, and most likely, the entire article. They're a better warning sign than the ones hidden in the text.
Yeah, I’ve been considering this. They’re going to start removing em dashes, which currently is a surefire way to detect AI text.
Let’s say lose those and using emojis as bullet points. It’s going to be a lot harder to detect.
I don't actually look for em dashes or emojis as indicators, I can tell just from a few paragraphs if the pacing and flow is AI slop.
LinkedIn loves these, even if they're broken.
But they had already lost me at all the links, and the fact there's not a red wire through the entire article.
The first thing my eyes skimmed was:
> CLAUDE.md: Claude’s instruction manual
> This is the most important file in the entire system. When you start a Claude Code session, the first thing it reads is CLAUDE.md. It loads it straight into the system prompt and keeps it in mind for the entire conversation.
No it's not. Claude does not read this until it is relevant. And if it does, it's not SOT. So no, it's argumentatively not the most important file.
Are you certain? My understanding was that this is automatically injected in the context, and in my experience that's how it worked. I never see 'ReadFile(claude.md)', and yet claude is aware of some conventions I put in there.
They’re mistaken. CLAUDE.md is always loaded into context, along with system prompts and memory files.
https://code.claude.com/docs/en/memory
“CLAUDE.md files are loaded into the context window at the start of every session”
Maybe. But I kind of view LinkedIn as a social network for people who only by the grace of a couple better decisions are talking about real business and not multilevel marketing schemes… but otherwise use the same themes and terminologies.
Like mostly people who have confused luck and success, or business acumen for religion.
So I wouldn’t use LinkedIn as a positive data point of what’s hot.
This is equivalent to "do people find PowerPoint to be helpful or distracting." Sometimes yes, mostly no.
In this case, I'd say helpful because I didn't have to read the article at all to understand what was being communicated.
Tufte is evergreen. Zinsser is another.
> Clutter is the disease of American writing. We are a society strangling in unnecessary words, circular constructions, pompous frills and meaningless jargon.
> Look for the clutter in your writing and prune it ruthlessly. Be grateful for everything you can throw away. Reexamine each sentence you put on paper. Is every word doing new work? Can any thought be expressed with more economy?
On Writing Well (Zinsser)
Most of the time I find them distracting, and sometimes a huge negative on the article. In this particular article though, they're well done and relevant, and I think they add quite a bit. It's a highly personal opinion kind of thing though for sure.
The first one is actually quite good.
Some of the others, I don’t feel like added value, but I agree that these are some of the best of a practice that I agreed does not add a ton of value typically
I never trust them to actually be correct. Aka they're probably worse than useless.
I think it's fine. As someone who blogged a lot, the instant visual differentiation among articles offered by the art within is actually valuable.
I am a victim of AI-documentation-slop at work, and the result is that I've become far more "Tuftian" in my preferences than ever before. In the past, I was a fan of beautiful design and sometimes liked nice colors and ornaments. Now, though, I've a fan of sparse design and relevant data (not information -- lots of information is useless slop). I want content that's useful and actionable, and the majority of the documents many of my peers create using Claude, Gemini or ChatGPT are fluffy broadsheets of irrelevant filler, rarely containing insights and calls-to-action.
So yes, it's chartjunk.
It's not necessarily an AI-generated infographics issue, it's that these aren't good infographics. The graphic part is adding minimal value.
My eye has started skipping past them, even though they're often quite useful if you engage with them.
I think the problem is that they're uninformative slop often enough that I've subconsciously determined they aren't worth risking attention time on.
No. It adds nothing so nothing is preferred
The article starts off really weak:
>Claude Code users typically treat the .claude folder like a black box. They know it exists. They’ve seen it appear in their project root. But they’ve never opened it, let alone understood what every file inside it does.
I know we are living in a post-engineering world now, but you can't tell me that people don't look at PRs anymore, or their own diffs, at least until/if they decide to .gitignore .claude.
You’re assuming most people using Claude code are senior engineers.
And that we're living in a post engineering world.
I don't. I have Claude do all my PR reviews, running in a daily loop in the morning. The truth is an LLM is better at code review than the average programmer.
I'm a senior engineer who has been shipping code since before GitHub and PR reviews was a thing. Thankfully LLMs have freed me from being asked to read other people's shit code for hours every day.
> Simply put: whatever you write in CLAUDE.md, Claude will follow.
No.
CLAUDE.md is just prompt text. Compaction rewrites prompt text.
If it matters, enforce it in other ways.
CLAUDE.md survives compaction.
It's meant to, yes.
Exactly!
Alchemy.
In my experience fewer skills is significantly better.
When you have this performative folder of skills the AI wastes a bunch of tool calls, gets confused, doesn't get to the meat of the problem.
beware!
Yeah skills get loaded into context which in effect pollutes context.
The fuck? What's next, configuring maven and pom.xml? At least XML is unambiguous, well specified, and doesn't randomly refuse to compile 2% of the time..
Tangential: The image with the heading "Anatomy of the .claude/ folder" is nicely made, anyone knows what tool is used for it?
interesting
Why is this AI slop article first on HN?
100% AI slop. All the way to "The Key Insight".
> Most people either write too much or too little. Here’s what works.
> Two folders, not one
Why post AI slop here?
"Thinking" is about to get even harder to do for most grifters with newsletters to sell.