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Show HN: Anyshift.io – Terraform "Superplan"

app.anyshift.io

31–40 of 47 posts

Re: Show HN: Anyshift.io – Terraform "Superplan"

#31

Congrats on Anyshift.io—it looks amazing! Quick question: how does the GitHub app handle complex pull requests with multiple Terraform files? Does it flag dependencies across modules in real-time? Looking forward to trying it out!

We can handle multiple changes in the same PR thanks to our graph, a digital twin of your infra. We will query each changes separately, so it can support Terraform files. But you're right on one point : if multiple PR are open, we don't have a chronological way to treat them (to take into account the first PR and its impact and based on that do the analysis on the second PR etc..).

Re: Show HN: Anyshift.io – Terraform "Superplan"

#37
post #35

how seamless is the onboarding process for heavily customized workflows (Terraform + scripts)

Most IaC setups will generate a terraform state, wheter in a directory (s3 bucket, hcp...) or on the fly. As long as we are able to access them we will be able to create a reconciliation at some point. which framework do you use?

Re: Show HN: Anyshift.io – Terraform "Superplan"

#38
post #23
post #15

Earlier quoted context omitted.

How will you be checkiing the quality of the AI recommendations in the your PR. Do you think that using different model ( chatgpt, claude,gemin, qwen) to challenge the recommendation made by another AI could help ?

About having differents models challenging each other, I haven’t seen anything useful yet but I understand where you are going. Might be a future direction

I have in mind the following paper. It is called Self-Taught Evaluators (https://arxiv.org/pdf/2408.02666)by Meta . It is interesting as they get big improvements from LLM checking and improving solution. WDYT ? I don't know if you could generate an PR using AI with let's say Claude and then check the quality by using chatgpt or gemini.. I would be interested by knowing if that would provide quality and more trust or the opposite
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