OldGreenYodaGPT

Joined 2 years ago

Karma
192
Submissions
34
Member since
Jun 27
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Recent submissions

Comment · 1 month ago
So four hundred and fifty comments, all these upvotes that they withdraw three, but no one gives a fuck that they solve seven hundred. All the problems with humanity summed up.
Comment · 2 months ago
Tested this last week and couldn't get it to finish any task that took more then an hour with /goal keep getting errors
Comment · 4 months ago
will come back to bite them very soon
Comment · 5 months ago
Isn’t that a joke? It already has supercharged science
Comment · 6 months ago
Dude, cursor's not even worth a billion.
Comment · 7 months ago
The problem is Anthropic doesn't have the compute to deploy this model to scale to everyone yet. Dario didn't believe that they needed as much compute, OpenAI is going to have much more compute unlocked this year and especially next year.
Comment · 9 months ago
I really like it!
Comment · 10 months ago
lol does sound like and ad, but is true. Also forgot about hooks use hooks too! I just use voice to text then had claude reword it. Still my real world ideas
Comment · 10 months ago
My company pays for the team Claude code plan which is like $200 a month for each dev. The workflows cost like 10 - 50 cents a PR
Comment · 10 months ago
Most software engineers are seriously sleeping on how good LLM agents are right now, especially something like Claude Code.

Once you’ve got Claude Code set up, you can point it at your codebase, have it learn your conventions, pull in best practices, and refine everything until it’s basically operating like a super-powered teammate. The real unlock is building a solid set of reusable “skills” plus a few agents for the stuff you do all the time.

For example, we have a custom UI library, and Claude Code has a skill that explains exactly how to use it. Same for how we write Storybooks, how we structure APIs, and basically how we want everything done in our repo. So when it generates code, it already matches our patterns and standards out of the box.

We also had Claude Code create a bunch of ESLint automation, including custom ESLint rules and lint checks that catch and auto-handle a lot of stuff before it even hits review.

Then we take it further: we have a deep code review agent Claude Code runs after changes are made. And when a PR goes up, we have another Claude Code agent that does a full PR review, following a detailed markdown checklist we’ve written for it.

On top of that, we’ve got like five other Claude Code GitHub workflow agents that run on a schedule. One of them reads all commits from the last month and makes sure docs are still aligned. Another checks for gaps in end-to-end coverage. Stuff like that. A ton of maintenance and quality work is just… automated. It runs ridiculously smoothly.

We even use Claude Code for ticket triage. It reads the ticket, digs into the codebase, and leaves a comment with what it thinks should be done. So when an engineer picks it up, they’re basically starting halfway through already.

There is so much low-hanging fruit here that it honestly blows my mind people aren’t all over it. 2026 is going to be a wake-up call.

(used voice to text then had claude reword, I am lazy and not gonna hand write it all for yall sorry!)

Edit: made an example repo for ya

https://github.com/ChrisWiles/claude-code-showcase

Comment · 10 months ago
GPT 5.2 has been very good in codex can't wait to try this new modal. Will see how it compares to Opus 4.5
Comment · 11 months ago
The collapse in production costs from AI video is going to change the volume and quality of what gets made. We’re headed for a world where studios and small teams alike can produce work that would have required a Game of Thrones budget not long ago. The pipeline for high end series and films is about to get a lot bigger, and the pace of experimentation is going to jump
Comment · 11 months ago
More anti sam anti AI propaganda, nothing dirty about this deal
Comment · 1 year ago
Netflix is basically strangling the creative potential of GenAI before it can even breathe. Their new “guidelines” read like a corporate legal panic document, not a policy for innovation. Every use case needs escalation, approval, or a lawyer’s blessing. That’s not how creativity works.

The irony is rich they built their empire on disrupting old Hollywood gatekeeping, and now they’re recreating it in AI form. Instead of letting creators experiment freely with these tools, Netflix wants control over every brushstroke of ai creativity

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