No more debugging in production

Strike a balance between automation and customization. The typescript interface provides the flexibility to manually tailor data generation to your exact debugging needs.

Snaplet mascot Snappy playing with a ball

Pro-active bug prevention

Snaplet seed automates the determination of values, making it unnecessary for you to define it explicitly. It also automatically creates relational entities, simplifying the management of IDs across tables. This reduces the possibility of data-related bugs. Snaplet seed also employs Copycat for deterministic data generation, ensuring consistent outputs for the same inputs. This makes Snaplet seed ideal for maintaining data integrity and consistency in testing and development environments.

Debugging with Snapshots

Filtered snapshots allow you to extract very specific slices of data from production, right down to a single row, sans the PII. It’s data that’s as close as possible to the real thing, with none of the safety concerns of using actual production data. The more precise your data, the quicker you can find and fix the issue.
Read the blog post:
Snappy is solving bugs faster with Snapshot's subsetting and smart filter tools
January 24, 2022

When bugs are real but the data isn’t.

A recent Twitter thread where developers shared their perspectives on the merits of reactive and proactive approaches towards solving bugs in production wasn't just a great collection of war stories, but a great way of framing the problem we're solving at Snaplet.
Read more >

What else can you use Snaplet for?

Using production-like data snapshots when working in your local development environment will make your features better

Coding locally

Using production-like data when working in your local development environment will make your features better and less error-prone.
Using production-like snapshots in your CI/CD environment  ensures that your tests are passing without bugs

End-to-end testing

With production-realistic data in your CI/CD pipeline, you can test more thoroughly and realistically, and catch bugs before they reach production.