AWS 2025 re:Invent Customer Story: AIGCode | Amazon Web Services

Key Takeaways

Our company is AI cheap code. We are build AI coding automation. We want to provide end-to-end software deliver to our end user. Their value should be easily, automatically scale up and scale out. So, that's why we chose AWS. Robot development was the most challenging for us. They have so many compliance and some of the data security and privacy issues. The user like to have a solid foundation just like AWS and it it was a global brand. If we turn to migrate from the former provider to AWS, the overall cost is reduced about 70% and the deliver of our pre-trained model we are reduced from monthly to weekly. For the scalable, we also introduce just like EC2, EKS, uh CloudFront, and also the WAF for security. Bedrock was really good for us because it was the practical components we should pick up. This kind of a component also build a strong sense of a privacy and data securities. I see the AI technologies [music] we are in body or in power human to be another level. Normal people can run this without any technical or software background. That means you can implement your ideas into [music] product, into software. And one click to deliver AWS foundation.