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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.
Every team with a real Postgres schema eventually hits the same wall: you need a populated database to develop, test, and demo โ but you can't use production data. Either it's regulated (PII, PCI, HIPAA), or the company doesn't exist yet, or your distributed team isn't cleared to touch it.
The existing options are all bad:
test@test.comSeedfast: realistic, relational data generated from your schema alone, no production access required.
Point Seedfast at your live Postgres, give it a natural-language scope (for example, "fintech app with 100 accounts, transactions, and varied balances"), and it fills your database in one CLI command. Foreign keys resolve automatically. Values are domain-appropriate โ names look like names, transactions look like transactions, dates make sense. The same tool works for 10 rows in a unit test and hundreds of thousands in a load test.
Because nothing ever connects to production, there's no PII pipeline to maintain, no security review to clear, no compliance risk to mitigate. The compliance problem doesn't exist instead of being solved.
Teams that can't use production data:
Also a strong fit for any team with 20+ tables and a seed file that's quietly become tech debt nobody wants to own.
Postgres-first CLI, runs anywhere you can run a binary.
seedfast seed !
GitHub Copilot SeedfastSeedfast's answer:
Seedfast is schema-driven by design. Point it at your Postgres database and it generates realistic, relational data โ written directly into your live tables, with triggers firing correctly, constraints staying valid, and foreign keys resolved across the entire database. Complex schema features (views, JSON fields, enums, deep multi-level relations) are handled natively. One CLI command. No production access required, no seed scripts to maintain, no PII risk.
Seedfast's answer:
Simplicity. One CLI command, no config files, no dashboards, nothing to maintain. Connect your database, describe what you need in plain English, and the data lands in your tables โ usually under two minutes from install to a seeded database. Same command whether you need 10 rows for a unit test or 500,000 for a load testing.
Seedfast's answer:
Developers in compliance-regulated environments who can't use production data, and anyone tired of writing and maintaining seed scripts. The common thread: they want realistic, relational data without the setup tax.
Seedfast's answer:
We were tired of maintaining seed scripts. Every migration broke them, the data looked fake, and we were burning hours every week on something that should've been a non-problem.
It definitely increases my productivity.
Based on our record, GitHub Copilot seems to be more popular. It has been mentiond 387 times since March 2021. 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 / about 1 month 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 / 2 months 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 / 2 months 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 / 2 months 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 / 2 months 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.
Claude Code - Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebaseโno more context switching, just breakthrough results.
Tonic AI - The fake data company
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.