If you give it the rules to generate something, why can't it generate it? That's what something like Mockaroo[0] does. It's just more formal. That's pretty much what LLM training does, extracting patterns from a huge corpus of text. Then it goes one to generate according to the patterns. It can not generate a new pattern that is not a combination of the previous one. [0]: https://mockaroo.com/. - Source: Hacker News / about 1 year ago

A quick way to test this out is to use a tool like Mockaroo to generate some test data and then have a Glue Crawler analyse the data in S3 and create the required data catalog entries. - Source: dev.to / over 2 years ago

Mockaroo — Mockaroo lets you generate realistic test data in CSV, JSON, SQL, and Excel formats. You can also create mocks for back-end API. - Source: dev.to / over 2 years ago

I generated some test data to load into Snowflake using Mockaroo. - Source: dev.to / over 2 years ago

So head to Mockaroo, and configure the data model fields to match that of the class you created earlier, for me, it looks like this:. - Source: dev.to / almost 3 years ago

That's where Composio helps you. It can connect your slack bots to 1000+ apps that you can use. - Source: dev.to / 15 days ago

Composio handles external triggers and tool integrations. It can wake the gateway when something happens in another app, and it makes it easy to add tool connections in Slack. - Source: dev.to / about 2 months ago

That gap, between AI as a chat interface and AI as an execution layer, is exactly where tools like Composio sit. The platform connects an LLM directly to external services: GitHub, Gmail, Slack, Notion, and dozens of others. Instead of copying output from a chat window and pasting it somewhere else, the reasoning model takes the action itself. This article compares that approach against the manual alternative, not... - Source: dev.to / 2 months ago

This article breaks down what per-user OAuth means for AI agents, why shared credentials fall apart at scale, what the emerging standards look like, and the exact checklist to use when picking a platform to handle it. We will also show how Composio approaches each of these problems so you do not have to assemble the stack yourself. - Source: dev.to / 2 months ago

Platforms like Composio, built specifically around how agents behave in the real world, generally age better than setups assembled from generic building blocks. When agents are expected to operate continuously and autonomously, that difference becomes noticeable very quickly. - Source: dev.to / 6 months ago