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Using Retrieval Augmented Generation (RAG) to clear our GitHub backlog

52 pointsby kevinlu1248almost 2 years ago

2 comments

isoprophlexalmost 2 years ago
If only there was a self-hosted option that I could point at any git repo, that could be called from the CLI with instructions and made eg. a feature branch with the proposed changes committed therein.<p>As it is, the apparent reliance on github &amp; github actions&#x2F;apps, and the lack of openness where I can&#x27;t run the LLM magic myself in an environment I control makes it A) impossible to use in a corporate environment and B) not entirely well aligned with my own FOSS values to use privately.<p>Edit: to expand, this is the &quot;getting started&quot; section.<p><pre><code> - Add the Sweep GitHub app to desired repos - Create new issue in repo, like &quot;Sweep: Write tests&quot;. [...] - Watch the magic happen </code></pre> I get that this is how we do software now: walled gardens, handing off your data to some opaque AI box, convenience of a nice integration above control over how and where code runs... but personally, that&#x27;s not for me.
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AlphaWeaveralmost 2 years ago
This is a great overview of a RAG workflow, and also composing a complex task down into simple tasks that fit within the context window!<p>I&#x27;m really interested if there is any software or open source projects that make this type of thing easier- specifically the idea of creating multiple &quot;phases&quot; or &quot;tasks&quot; that each has their own LLM prompt and validation rules (like each node in the flowchart.) I think something like that could be very helpful!
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