The Challenge of Testing with AI Agents
Over the past two years, AI coding agents have grown remarkably adept at tackling complex engineering tasks. They can write code, debug issues, and even manage entire workflows. But there’s a critical gap: these agents often lack a realistic sandbox at the database layer to test their changes. Without it, they can produce flawed code that risks bringing down production databases—a problem that can undo even the most sophisticated agent.
Our co-founder Vikram learned this the hard way after spending over a year building an AI Data Engineer that ultimately failed for exactly this reason. Meanwhile, Evan has spent the last 12 years in data engineering and repeatedly hit the same wall while building agents at his previous company. The common thread? Without a safe, production-like environment, even the best agents ship garbage.
How Ardent Solves It
Ardent was built to give coding agents near-instant access to production-like sandboxes for thorough testing. The core idea is simple: create a replica of your production Postgres database in seconds—without any migration or significant changes to your existing infrastructure.
Instead of forcing you to switch database providers, Ardent works with any hosted Postgres instance. It uses a replication stream that combines logical replication with DDL triggers, making it compatible with platforms that don’t allow physical replication (which is the traditional method for creating replicas). This approach ensures strong separation between production and development environments while keeping the impact on your live database minimal.
Technical Architecture
Under the hood, Ardent writes a replication stream out of the target database, scaling via Kafka onto a read replica that uses copy-on-write technology along with autoscaling compute. This design is inspired by Neon’s branching engine, which we currently prefer as our primary provider because of its excellent implementation of these properties.
The replication process works entirely through logical replication and DDL triggers, so you don’t need to change your hosting platform. This gives you the ability to spin up clones quickly and safely, without worrying about breaking production.
Key Benefits
- No platform migration required. You can keep your existing database provider—Ardent creates sandboxes without forcing you to move to a specialized service like Neon.
- Minimal production impact. The replication stream runs with low overhead, so your live database stays responsive while clones are created.
- Near-instant clones. With copy-on-write and autoscaling, you get a sandbox in seconds, not hours.
- Safe testing for AI agents. Your coding agents can test their work in a realistic environment without risking production data integrity.
Who Should Use Ardent
If you’re working with AI coding agents that need to interact with a database—whether for testing new features, running migrations, or debugging data pipelines—Ardent is designed for you. It’s also valuable for development teams that want isolated environments for manual testing, without the headache of maintaining multiple copies of production.
By bridging the gap between agent-generated code and production safety, Ardent helps teams ship faster and with more confidence. To see it in action or get started, visit tryardent.com.