Honest question, at what point is the Stack Overflow Developer Survey not representative of the average software engineer, many (most?) of who no longer use Stack Overflow?

Again reminded of what an amaizing piece of engineering S3 is (99.999999999% - 11 nines of durability) [1]

1: https://docs.aws.amazon.com/AmazonS3/latest/userguide/DataDu...

I've been working on Hansel [1] (an encrypted personal data store you can query with agents), and there wasn't a good way to use the modern macOS Data Protection Keychain.

Electron's safeStorage [2] uses the legacy file-based keychain, which allows other apps/agents to query it with the `security` CLI. Not great when you have a dozen agents running in the background! The Data Protection Keychain is nice because it limits access via code-signing access groups and lets you set access rules like Touch ID and/or password.

1: https://hansel.so/

2. https://www.electronjs.org/docs/latest/api/safe-storage

Comments URL: https://news.ycombinator.com/item?id=49349159

Points: 24

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Comments URL: https://news.ycombinator.com/item?id=49255700

Points: 1

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Comments URL: https://news.ycombinator.com/item?id=49159587

Points: 1

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Shopify, Cloudflare, Zoom, Spotify, Roblox, and Coinbase are all notable examples.

Comments URL: https://news.ycombinator.com/item?id=43381484

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With errors, it's hard since many languages can throw errors anywhere, so it's hard to feel like any function is "safe" in terms of error handling. That's one of the reasons why `enwrap` returns a generic error alongside any other result: to support incremental adoption.

If you have a chance to check out `enwrap` and have feedback, email me! (link in bio)

I've been using https://github.com/biw/enwrap (disclaimer: I wrote it) in TypeScript and have found that the overhead it adds is well worth the safety it adds when handling and returning errors to users.

That said, I see parallels between the debate about typed vs. non-typed errors and the debate of static typing vs. dynamic typing in programming languages.

I have heard a lot of great things about https://ghostty.org/ but haven't had a chance to check it out

edit: oops, I misread your question as "what alternatives are there"

https://codemirror.net/1/story.html

> I created this in 2014, the year I learned how to program. All of the downloads are from an old version of https://github.com/micromatch/micromatch.

Excited to share Mobile Tethering, our latest feature release on Faraday.dev. It lets you run local LLMs on your Mac/Windows Computer (Linux soon) and seamlessly use them to chat with AI on mobile. Since all the heavy workloads run directly on your computer (instead of on an expensive cloud server), it's 100% free to use, and your chat data is never stored or logged in the cloud.

I'm one of the founders of Faraday.dev, so would love to hear any ideas you have on what we should build next!

__

PS: For those who've never used Faraday – it's a zero-config desktop app for creating AI characters (custom chatbots) powered by locally running LLMs. Faraday can run on CPU with only 8GB of RAM via llama.cpp by @ggerganov, and the app will automatically use your GPU to speed things up. We also have a community-driven Character Hub, text-to-speech, lorebooks, and more.

Comments URL: https://news.ycombinator.com/item?id=39542693

Points: 8

# Comments: 3

https://docs.faraday.dev/character-creation/grammars