Amazon S3 (Amazon Simple Storage Service) is the storage platform by Amazon Web Services (AWS) that provides an object storage with high availability, low latency and high durability. S3 can store any type of object and can serve as storage for internet applications, backups, disaster recovery, data archives, big data sets and multimedia.
Based on our record, Amazon S3 seems to be a lot more popular than Locofy.ai. While we know about 198 links to Amazon S3, we've tracked only 11 mentions of Locofy.ai. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hi Koji, this looks like a fantastic tool! I think it will pair nicely with Locofy (https://locofy.ai) for handoff from design to AI-generated code to really simplify the frontend process! - Source: Hacker News / 6 months ago
React’s Context API works great when the codebase is modular and split into components. For this, you can use the Locofy.ai plugin to generate modular, and highly extensible React components directly from your Figma & Adobe XD design files. - Source: dev.to / about 2 years ago
You can generate responsive code directly from your design files in Figma and Adobe XD using the Locofy.ai plugin. - Source: dev.to / about 2 years ago
We are building Locofy.ai - The idea here is not to replace engineers but to help them ship faster by enabling them to turn their designs (Figma or Adobe XD) into production-ready code. The code can be extended (adding data and logic) to build full-stack apps. Our users (mostly engineers) are pretty happy about the code quality and have told us that it is saving them 80-90% time. What are your thoughts? Source: over 2 years ago
Figma with locofy.ai works OK, but does need some react knowledge to not turn it into a functional piece of hot garbage for anyone to work with. Source: over 2 years ago
Takeaway: S3 is feature-rich and great for complex workflows. Cloud Storage is simpler and faster for global access. Explore S3 documentation. - Source: dev.to / 3 days ago
To address this, the team introduced a conditional frontend build mechanism. Using git diff with the three-dot notation, it detects whether a PR includes frontend changes compared to the main branch. If no changes are detected, the frontend build step is skipped, reusing a prebuilt version stored in AWS S3 and served via an internal Content Delivery Network (CDN). - Source: dev.to / 26 days ago
In this article, we present an architecture that demonstrates how to collect application logs from Amazon Elastic Kubernetes Service (Amazon EKS) via Vector, store them in Amazon Simple Storage Service (Amazon S3) for long-term retention, and finally query these logs using AWS Glue and Amazon Athena. - Source: dev.to / about 1 month ago
Iceberg has quietly become the foundation of the modern data lakehouse. More and more engineering teams are adopting it to store and manage analytical data in cloud storage — like Amazon S3, Google Cloud Storage, or Azure Data Lake Storage — while freeing themselves from the limitations of closed systems. - Source: dev.to / about 2 months ago
AWS Lambda is perfect for applications that process images due to its integration with AWS S3, an object storage service. A good example is an e-commerce application that renders images in different sizes. Here are the top features:. - Source: dev.to / 2 months ago
Anima App - Design, get feedback, convert to code, publish, iterate.
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
FUNCTION12 - Get code just copy and paste Design-to-code automation solution that converts Figma designs into front-end view code
Wasabi Cloud Object Storage - Storage made simple. Faster than Amazon's S3. Less expensive than Glacier.
Polipo.io - Implement any design in just a few lines of code. Keep design and product synchronized, in real-time.
AWS Lambda - Automatic, event-driven compute service