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Hey HN! I've been working on a project called Darwin that I'm thrilled to share with you.

Darwin is essentially your GitHub agent powered by large language models (LLMs). It checks out your projects, understands them through natural language prompts, and automates tasks such as fixing issues, documenting code, reviewing pull requests, and more.

What drove me to create Darwin was a desire to harness the power of LLMs in a way that's seamlessly integrated with the tools I use daily. The motivation came from my curiosity about what could be possible when writing code that understands code. Darwin stands out because it's designed for developers who want to leverage AI without needing deep expertise in LLMs or prompt engineering. It offers:

- hands-off approach to automate routine development tasks.

- Novel and creative ways of making LLMs work for you

- A unique API for each project, allowing for customized automation tools.

Currently, Darwin is in alpha. It's functional, with users able to connect their repositories, define tools, and run tasks. I'm especially interested in feedback at this stage — everything from output quality to user experience. Every project starts with a $5 free budget to try it out, and while payment isn't implemented yet, I'm keen to hear your thoughts.

The vision for Darwin is not just about automation but creating a more productive, creative, and enjoyable development experience. I believe we're just scratching the surface of what's possible with AI in software development, and I'm excited to see where we can take this.

For those interested, I'm looking for alpha testers and feedback. If you're curious about automating your GitHub workflow or want to push the limits of what AI can do for development, Darwin might be for you. Check it out and let me know what you think!


Comments URL: https://news.ycombinator.com/item?id=39514192

Points: 24

# Comments: 7



from Hacker News: Front Page https://darwin-ai.dev
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Hello HN! I'm excited to introduce Swift Mail, a native macOS email client purpose-built for the JMAP mail standard.

Primarily constructed with SwiftUI and occasional AppKit elements, Swift Mail combines the speed and efficiency of a modern mail standard with desktop-centric features such as system notifications, keyboard shortcuts, quick look, multiple windows, state restoration, dark mode, and more.

Swift Mail distinguishes itself from other email clients with its steadfast commitment to the JMAP standard over the traditional IMAP implementation, facilitating seamless alignment with modern mail features. It supports various innovative Fastmail features, such as multiple sending identities, the ability to send or reply on-the-fly from wildcard (*) aliases, and the ability to swiftly transition between (true) label and folder organization schemes.

Swift Mail prioritizes user privacy and does not collect any user data or function through intermediary servers. Instead, it directly connects to the JMAP server with the user's provided account credentials, processing and storing all data locally on the user's device.

Currently, Swift Mail is available directly via the Mac App Store with support extending back to Monterey.

I’m also running a developer build on visionOS (if you have hardware and are interested in testing a beta release, please reach out to beta at swiftmail dot io).

A sincere thank you to everyone who has contributed their valuable insights or participated in beta testing via TestFlight thus far.

Looking forward to your feedback!

- Karl


Comments URL: https://news.ycombinator.com/item?id=39443927

Points: 25

# Comments: 15



from Hacker News: Front Page https://ift.tt/Q69xn0R
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The Pomodoro is the default standard for productivity. It's certainly concise and low-overhead, but can still be scaled into elaborate systems. However, I wonder if anyone ever has problems following it. And if so, what are alternative methods to focused work and productivity?

I've seen only one before- the Flowtime Technique, which is really just Pomodoro with no preset time blocks and with flexible breaks.

https://ift.tt/ZO7KPNQ


Comments URL: https://news.ycombinator.com/item?id=39348500

Points: 29

# Comments: 32



from Hacker News: Front Page https://ift.tt/lkxWM4Y
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Curious what people have been building with LLMs.

I worked on a chrome extension a few weeks ago that skips sponsorship sections in YouTube videos by reading through the transcript. Also was trying to experiment with an LLM to explain a function call chain across languages (in this case MakeFile, Python, Bash). I've tried running a few telegram bots that are PRE prompted to do certain things like help you with taxes.

What are you building?

What does the stack look like? How do you deploy it?


Comments URL: https://news.ycombinator.com/item?id=39263664

Points: 37

# Comments: 28



from Hacker News: Front Page https://ift.tt/aX9NxGF
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