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!
Show HN: Anyshift.io – Terraform "Superplan"
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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"
#32Sounds amazing! Very smart approach to solve the complex Terraform dependency issues. The T1 team behind the projet makes it very exciting!
thanks for your feedback!
Re: Show HN: Anyshift.io – Terraform "Superplan"
#33very cool release !
Re: Show HN: Anyshift.io – Terraform "Superplan"
#34Super interesting!
This will save my time
Re: Show HN: Anyshift.io – Terraform "Superplan"
#35how seamless is the onboarding process for heavily customized workflows (Terraform + scripts)
Re: Show HN: Anyshift.io – Terraform "Superplan"
#36[dead]
Re: Show HN: Anyshift.io – Terraform "Superplan"
#37how 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"
#38Earlier 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
Re: Show HN: Anyshift.io – Terraform "Superplan"
#39This looks great! Any plan to support other languages like bicep?
Re: Show HN: Anyshift.io – Terraform "Superplan"
#40almost all of the positive responses on here are from brand new accounts...