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chrismustcode

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投稿

GitHub/spec-kit – Toolkit to help you get started with Spec-Driven Development

github.com
7 ポイント·投稿者 chrismustcode·10 か月前·1 コメント

コメント

chrismustcode
·先月·議論
You don't consider Input $0.435 Output $0.87 cache read $0.003625 per million tokens for near frontier intelligence cheap?
chrismustcode
·先月·議論
I once got told for an internal promotion I couldn't put anything regarding my current role, responsibilities and achievements in the role. I got told to put any volunteering or previous.

Reason given was it's what is expected at work everything you do in your role, you need to show above and beyond.
chrismustcode
·3 か月前·議論
If they can block IPs of cloudflare what extra mechanisms would be needed to block VPN IPs?
chrismustcode
·3 か月前·議論
Is aider even a thing considered anymore?

It was pretty much first for CLI agents and had a benchmark that was the go to at the start of LLM coding. Now the benchmark doesn't get updated and aider never gets a mention in talking about CLI tools till now.
chrismustcode
·3 か月前·議論
5 days ago OpenAI raised $122b and 26' Q1 recorded the largest amount of startup funding in a Q ever.

I wouldn't say it's drying.

https://x.com/OpenAI/status/2039085161971896807

https://techcrunch.com/2026/04/01/startup-funding-shatters-a...
chrismustcode
·3 か月前·議論
I'm on sky in the UK which is marked as not safe due to no RPKI.

It's not on the list so imagine there is a fair few missing, would be neat to have a table you could filter by country, provider type (cloud/isp etc) based on real results from users.

edit: there's a show all button to expand the table
chrismustcode
·7 か月前·議論
This isn’t accurate even for API prices for a request/response.

Go on something like openrouter with gpt 5.1 and use the chat then check the billing and you’ll see an average joe query is like 0.00102 or something.

You’re quoting figures from articles for initial ChatGPT release in 2022
chrismustcode
·9 か月前·議論
They were failing as an online IDE for several years then growth shot up after the AI pivot.
chrismustcode
·9 か月前·議論
Couldn’t they just send some hardware down Texas to co-locate there (presuming specialist hardware) and add another deployment target for their software? Would it be that hard?
chrismustcode
·9 か月前·議論
I thought they use GPU for learning and TPU for inference, I’m open to been corrected.
chrismustcode
·10 か月前·議論
I’ve never had an experience in any house or office where there’s been enough sockets to leave everything plugged.
chrismustcode
·11 か月前·議論
I honestly find in go it’s easier and less code to just write whatever feature you’re trying to implement than use a package a lot of the time.

Compared to typescript where it’s a package + code to use said package which always was more loc than anything comparative I have done in golang.