GitHub Copilot
Cursor
Windsurf Editor
replit
Codeium
Claude Code
Tabnine
Amazon CodeWhisperer
Generate Data
Mockaroo
FakerBox
Data Creator
RandomPhoneNumber.online
RandTools
Dummy File Generator
DDL to Data
Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.
GitHub Copilot Generate DataIt definitely increases my productivity.
Based on our record, GitHub Copilot seems to be a lot more popular than Generate Data. While we know about 387 links to GitHub Copilot, we've tracked only 14 mentions of Generate Data. 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.
Where llms.txt genuinely gets read is a different layer: coding and agent tooling โ Cursor, Claude Code, GitHub Copilot, Windsurf โ pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's Agents SDK. That's real, and it's growing fast. - Source: dev.to / 12 days ago
You need an active GitHub Copilot subscription. Plans are available at individual, business, and enterprise tiers at github.com/features/copilot. Once active, all tools use your GitHub account credentials. - Source: dev.to / about 1 month ago
For over a decade PhpStorm (starting in my WordPress era) and later WebStorm have been my main IDEs for web development. So when GitHub Copilot launched, it was a natural choice to try it out in WebStorm. It was one of the first AI coding tools I used, and it had a big impact on how I thought about AI-assisted coding. - Source: dev.to / about 1 month ago
Before we get into it, there are some things about AI usage worth addressing. I've had my fair share of scepticism in the past, but recent model releases have made it increasingly difficult to argue that AI isn't a viable tool for the majority of workstreams, including building user interfaces. Most large language models are trained on public data scraped from the internet, which means your internal design system... - Source: dev.to / about 1 month ago
Most developers still treat GitHub Copilot like a very good autocomplete engine. That's useful, but it's not the real unlock. - Source: dev.to / about 1 month ago
When you're learning SQL or testing queries, having access to realistic mock data is essential. Tools like Mockaroo and GenerateData can quickly create large datasets that you can upload into your database. You can define custom fields like names, dates, and even randomly generated emails to match your needs. - Source: dev.to / about 1 year ago
Since you will almost certainly need data to work on, I recommend generatedata.com. Source: about 3 years ago
Like this one I just found randomly. https://generatedata.com/. Source: about 3 years ago
To play around with data generation and make a custom dataset I can recommend using โ https://generatedata.com/. Iโve used it to generate 1๐ records of the data. At the moment of writing this article, the basic yearly plan costs 25$ and you would not regret it. - Source: dev.to / over 3 years ago
Good morning, I should populate my db with fake data and I tried generatedata.com and mockaroo.com but they both have limits on the number of rows (500 and 1000 respectively). Do you know of any site/software that allows me to produce fake data of 5000/10000 rows at a time? Thanks in advance. Source: about 4 years ago
Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.
Mockaroo - A realistic data generator to test your app
Windsurf Editor - Tomorrow's editor, today. Windsurf Editor is the first AI agent-powered IDE that keeps developers in the flow. Available today on Mac, Windows, and Linux.
FakerBox - Free Data Generator For Developers, Designers & Testers
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.
Data Creator - Data generator that can create a table filled with pseudo-random content.