- No trust that they won't nerf the tool/model behind the feature

- No trust they won't sunset the feature (the graveyard of LLM-features is vast and growing quickly while they throw stuff at the wall to see what sticks)

- No trust in the company long-term. Both in them being around at all and them not rug-pulling. I don't want to build on their "platform". I'll use their harness and their models but I don't want more lock-in than that.

If Anthropic goes "bad" I want to pick up and move to another harness and/or model with minimal fuss. Buying in to things like this would make that much harder.

I'm not going to build my business or my development flows on things I can't replicate myself. Also, I imagine debugging any of this would be maddening. The value add is just not there IMHO.

EDIT: Put another way, LLM companies are trying to climb the ladder to be a platform, I have zero interest in that, I was a "dumb pipe", I want a commodity, I want a provider, not a platform. Claude Code is as far into the dragon's lair that I want to venture and I'm only okay with that because I know I can jump to OpenCode/Codex/etc if/when Anthropic "goes bad".

This Routines feature notably works with the subscription, and it also has API callbacks. So if my Telegram bot calls that API... do I get my Anthropic account nuked or not?

The new reality of coding took away one of the best things for me - that the computer always just does what it is told to do. If the results are wrong it means I'm wrong, I made a bug and I can debug it. Here.. I'm not a hater, it's a powerful tool, but.. it's different.

EDIT: This comment is apparently [dead] and idk why.

It was a bit buggy, but it seems to work better now. Some use cases that worked for me:

1. Go over a slack channel used for feedback for an internal tool, triage, open issues, fix obvious ones, reply with the PR link. Some devs liked it, some freaked out. I kept it.

2. Surprisingly non code related - give me a daily rundown (GitHub activity, slack messages, emails) - tried it with non Claude Code scheduled tasks (CoWork) not as good, as it seems the GitHub connector only works in Claude Code. Really good correlation between threads that start on slack, related to email (outlook), or even my personal gmail.

I can share the markdowns if anyone is interested, but it's pretty basic.

Very useful, (when it works).

We ought to come up with a term for this new discipline, eg "software engineering" or "programming"

They support much of the same triggers and come with many additional security controls out of the box

The main bugs / missing features are

1. It loses connection to it's connectors, mostly to the slack connector. It does all the work, then says it can't connect to slack. Then when you show it a screenshot of itself with the slack connector, it will say, oh, yeah, the tools are now loaded and does the rest of the routine.

2. ability to connect it to github packages / artifactory (private packages) - or the dangerous route of allowing access to some sort of vault (with non critical dev only secrets... although it's always a risk. But cursor has it...)

3. the GitHub MCP not being able to do simple things such as update release markdown (super simple use case of creating automated release notes for example)

You are so close, yet so far...

The reason someone would use this vs. third-party alternatives is still the fact that the $200/mo subscription is markedly cheaper than per-token API billing.

Not sure how this works out in the long term when switching costs are virtually zero.

And because they use AI heavily, they produce new product every week. So fast, that I have no time to check, does it worth or not.

This one looks interesting. I have some custom commands that I execute manually weekly, for monitoring, audits, summary, reports. It it can send reports on email, or generate something that I can read in the morning with my coffee, or after I finish with it ;) it might be a good tool.

The question is, do I really want to so much productive? I am already much better in performance with AI, compared with the 'old school' way...

Everything is just getting to much for me.

So who are they building these for?

Am I needed anymore?

I think to become really efficient they'll have to invent new programming language to eliminate all the ambiguity and non-determinism. Call it "prompt language", with ai-subroutines, ai-labels and ai-goto.

This PR was created by the Claude Code Routine:

https://github.com/srid/claude-dump/pull/5

The original prompt: https://i.imgur.com/mWmkw5e.png

Oh cool! vendor lock-in.

I bet anthropic wants to be there already but doesn't have the compute to support it yet.

The report that they are 90% Ai code generated seems more likely the more I attempt to use their products.

Sorry, but I just have to ask. Why is u/minimaxir's comment dead? Is this somehow an error, an attack, or what?

This is a respected user, with a sane question, no?

I vouched, but not enough.

edit: His comment has arisen now. Leaving this up for reference.

Feature delivery rate by Anthropic is basically a fast takeoff in miniature. Pushing out multiple features each week that used to take enterprises quarters to deliver.