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# Assignment Proposal | ||
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## Title | ||
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_AIAC: An AI Infrastructure-as-code Generator_ | ||
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## Names and KTH ID | ||
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- Diogo Gaspar ([email protected]) | ||
- Diogo Melita ([email protected]) | ||
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## Deadline | ||
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- Week 5 | ||
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## Category | ||
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- Demo | ||
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## Description | ||
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We will demo [AIAC](https://github.com/gofireflyio/aiac), a tool which makes use of generative AI tools, | ||
generating infrastucture-as-code "templates, configurations, utilities, queries and more via LLM providers | ||
such as OpenAI, Amazon Bedrock and Ollama". | ||
Our idea is, besides first briefly presenting the tool itself and its capabilities, take one | ||
previously-thought-of prompt and try it in front of the class, and then ask one of our colleagues and/or | ||
one of the teachers for another prompt, and reason regarding the obtained results in both cases (whether they | ||
were good, if re-prompting with a few tweaks should fix basic issues, if it hallucinated, etc). | ||
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**Relevance** | ||
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Our demo will aim to display this tool's (and generative AI tools' more generally) capabilities | ||
of generating serviceable IaC, and how these may help developers toward their goals (taking, of course, | ||
into consideration that these are fallible tools, with no built-in formal validity/correcteness checks). |