Seedfast
Mockaroo
Tonic AI
Claude Code
Supabase
SeedAI
Beeceptor
Demostack
GitHub Actions
GitHub
CircleCI
GitHub Pages
Kubernetes
Jenkins
Wildfire
Docker Hub
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 !
Seedfast GitHub ActionsSeedfast'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.
Based on our record, GitHub Actions seems to be more popular. It has been mentiond 330 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.
With this transition timeline in place, development teams relying on Gemini CLI for repository management and automated tasks must establish a migration path. In this post, I will show you how to transition seamlessly by building an automated "first-pass" pull request reviewer using the Google Antigravity SDK and the run-agy-sdk composite GitHub Action. - Source: dev.to / about 1 month ago
Choose a Git platform. GitHub, GitLab, or Bitbucket. All three provide CI/CD capabilities. GitHub Actions and GitLab CI are the most popular and best-documented. - Source: dev.to / about 2 months ago
Drive pair selection from search query logs. Right now I pick pairs by download rank. A better signal would be which pairs users actually search for. Pagefind runs client-side and doesn't log queries to any server, so I'd need a thin logging endpoint โ something like a POST to a GitHub Actions-triggered function that appends to a JSONL file. Then the ETL reads the top-N ungenerated pairs from the log. This is a... - Source: dev.to / 2 months ago
GitHub Actions lets developers automate workflows directly within GitHub. You write YAML workflow files that trigger on repository events to build, test, and deploy code. Actions provides hosted runners and supports matrix builds, so you can test across multiple OS versions in parallel. - Source: dev.to / 2 months ago
On merge, GitHub Actions applies infra changes via Terraform, and the Jenkins seeder picks up new DSL files on its next poll. - Source: dev.to / 3 months ago
Mockaroo - A realistic data generator to test your app
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Tonic AI - The fake data company
CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.
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.
GitHub Pages - A free, static web host for open-source projects on GitHub