Table of contents
Open Source
smol developer is hosted on GitHub, providing transparency and allowing developers to contribute and customize the tool according to their needs.
Community Support
Being an open-source project, it benefits from community contributions, which can lead to fast-paced improvements, bug fixes, and feature enhancements.
Cost-effective
As an open-source tool, it is free to use, making it accessible to developers or teams with budget constraints.
Flexibility
Developers can modify the code to fit their specific use cases or integrate it with other tools and workflows.
Innovative
The project aims to utilize innovative techniques or technologies, potentially offering new solutions or improvements over traditional tools.
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Smol Developer builds full features based on natural language prompts — using an LLM agent approach. It handles file structure, function breakdown, and dependencies. - Source: dev.to / 4 months ago
Check out smol-developer (https://github.com/smol-ai/developer). Source: almost 2 years ago
4. https://github.com/smol-ai/developer How can ChatGPT be effectively utilized for reading library source code, resolving coding issues, and serving as a dedicated coding assistant tailored for a specific programming language? - Source: Hacker News / almost 2 years ago
The smol developer AI tool was built by a developer called Swyx using ChatGPT. This library is designed to act like a personal, junior developer, performing a huge array of simple, routine tasks as well as some sophisticated tasks. By using a spec that you provide in a prompt, you can even use smol developer to pair program with an AI tool! - Source: dev.to / about 2 years ago
And this is where most of these tools fall short, with tools like Smol-Developer creating decent client and server code that work great on their own, but unfortunately don’t work together! - Source: dev.to / about 2 years ago
I've been experimenting with GPT to try to write code in an existing code base. This consists mainly of copy and pasting existing code snippets and getting edits or adding new functions. Or using tools like smol-dev [0] to generate entire projects me for j-dev originally started as a refactor of smol-dev but I quickly realized it was unrealistic to nuke your entire project and rebuild from scratch. Plus it was... - Source: Hacker News / about 2 years ago
1) Show HN: Bloop – Answer questions about your code with an LLM agent (github.com/bloopai) https://news.ycombinator.com/item?id=36260961 3) Show HN: GPT Repo Loader – load entire code repos into GPT prompts (github.com/mpoon) https://news.ycombinator.com/item?id=35191303 5) codium 6) copilot 7) using gpt in the playground / chatgpt 8) jam.dev/jamgpt 9) magic.dev 10) - Source: Hacker News / about 2 years ago
I had this same idea and started working on something for this purpose called j-dev [0]. It started as a fork off smol-dev [1] which basically gets GPT to write your entire project from scratch. And then you would have to iterate the prompt to nuke everything and re-write everything, filling in increasingly complicated statements like "oh except in this function make sure you return a promise" j-dev is basically a... - Source: Hacker News / about 2 years ago
Smol AI’s “Smol-Developer” gained a lot of notoriety very quickly by being one of the first such tools on the scene. It is a simple set of python scripts that allow a user to build prototype apps using natural language in an iterative approach. - Source: dev.to / about 2 years ago
I think you are asking specifically about practical LLM engineering and not the underlying science. Honestly this is all moving so fast you can do well by reading the news, following a few reddits/substacks, and skimming the prompt engineering papers as they come out every week (!). https://www.latent.space/p/ai-engineer provides an early manifesto for this nascent layer of the stack. Zvi writes a good roundup... - Source: Hacker News / over 2 years ago
Hey OP here. We took smol developer and deployed it on our platform. Source: over 2 years ago
[3] https://github.com/smol-ai/developer. Source: over 2 years ago
I find that most of the completion endpoints are also pretty good for generation too. Have you seen smol developer? It's a bit larger in scope than what you described but the same idea. https://github.com/smol-ai/developer/. Source: over 2 years ago
Smol-ai developer a personal junior developer that scaffolds an entire codebase with a human-centric and coherent whole program synthesis approach using <200 lines of Python and Prompts. Source: over 2 years ago
You joke but check this out https://github.com/smol-ai/developer. Source: over 2 years ago
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