InfraCopilot: The Wolfram Alpha of Infrastructure
infracopilot.io
InfraCopilot: The Wolfram Alpha of Infrastructure
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Re: InfraCopilot: The Wolfram Alpha of Infrastructure
#2Re: InfraCopilot: The Wolfram Alpha of Infrastructure
#3Re: InfraCopilot: The Wolfram Alpha of Infrastructure
#4Re: InfraCopilot: The Wolfram Alpha of Infrastructure
#5how does it compare to AWS' Application composer?
InfraCopilot is more akin to Wolfram Alpha, in the sense that it has an intelligence/understanding of architecture. You can use high level design to describe your intent and requirements/constraints, and it will deterministically implement it (this isn't LLMs or ChatGPT). When you attempt low level changes, it will validate that they maintain correctness, because it has an understanding of impacts.
When you reshape elements, it has the understanding of follow-on effects, and how to propagate them into the rest of the architecture, all while staying valid.
[0] https://aws.amazon.com/application-composer/
Re: InfraCopilot: The Wolfram Alpha of Infrastructure
#6Very cool idea, and sleek execution!
1. Is it based on ChatGPT? How does it ensure there are no hallucinations or that what it produces is correct? 2. Is this open source
Re: InfraCopilot: The Wolfram Alpha of Infrastructure
#7Re: InfraCopilot: The Wolfram Alpha of Infrastructure
#8Very cool idea, and sleek execution!
Also, 2 questions that come to mind: 1. Is it based on ChatGPT? How does it ensure there are no hallucinations or that what it produces is correct? 2. Is this open source
This is open source to a large degree, it's powered by the Klotho engine ( https://github.com/KlothoPlatform/klotho )
Re: InfraCopilot: The Wolfram Alpha of Infrastructure
#9Looks cool! How does it come up with different architectures when changing from one type of database (e.g.) to another?
Right now the architectural patterns are curated, but algorithmically tested. The next phase is to combine curation with patterns from the community.
Re: InfraCopilot: The Wolfram Alpha of Infrastructure
#10Earlier quoted context omitted.
Also, 2 questions that come to mind: 1. Is it based on ChatGPT? How does it ensure there are no hallucinations or that what it produces is correct? 2. Is this open source
We use OpenAI/GPT for NLP only - parsing intent - oversimplifying but normalizing things like "I want a serverless function that connects to RDS" is translated to a JSON schema that says serverless RDS. That's then passed to the InfraCopilot engine which then unpacks what that means into a larger architectural representation (we have an Architecture-as-Code blog post coming soon). This is open source to a large degre…