Postgres internals, test data, and running AI agents against real databases.
Realistic test data needs cross-column coherence and FK-connected rows, not just plausible values. What Faker misses, and what Seedfast generates instead.
AI agent production database access has a real blast radius. Seedfast fills a disposable Postgres with connected rows generated from your schema instead.
Claude Code MCP database seeding, start to finish. Add one config block, ask the agent, and Seedfast fills your Postgres schema with valid, connected rows.
Codex CLI database seeding in 2026. One codex mcp add registers Seedfast, which then reads your Postgres schema and fills it with valid, connected rows.
Docker compose seed database, step by step. Boot Postgres, wait on the healthcheck, then let Seedfast generate valid rows against the live schema.
GPT-5.6 Sol test data is where the agentic loop stalls. Sol writes the code; Seedfast reads your live Postgres schema and fills in the connected rows.
Synthetic data for CI/CD means generating rows inside the pipeline. Seedfast reads the live schema after migrations and writes valid rows every run.
The best AI test data generator reads your schema before it writes a row. Seven tools compared on foreign keys, exports, free tiers and how you drive them.
The best Postgres test data generator reads your live schema. Seedfast does that on every run, as one CLI step, and the rows come out valid across tables.
Generate realistic synthetic data from your database schema.Safe, coherent, and ready for local dev, demos, and CI.