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Version: 3.0.0

🏗️ Unit Testing Architecture​

Unit testing at scale isn’t just about writing individual test cases—it's about building a workflow that can generate, filter, and review tests with minimal manual effort.
Here’s how Keploy leverages AI (LLM) to automate and streamline the unit testing process:

Keploy Unit Testing Architecture

This diagram shows the end-to-end workflow of Keploy’s AI-powered unit testing architecture.

How it Works (at a Glance)​

  • CI Issues as Input: The process starts with issues detected by your CI pipeline.
  • LLM Generates Faults: The system uses AI to create possible faults based on your code and current issues.
  • Build & Test: It checks if these faults build and whether they pass or fail.
  • Filter & Deduplicate: Syntactically identical or equivalent faults are removed automatically.
  • Test Generation: For unique faults, the LLM creates tests specifically designed to catch those faults.
  • Automated Review: Tests are auto-validated—discarding unstable or irrelevant ones.
  • Diff Summary & Test Plan: The final tests and summaries are generated automatically, then passed to your PR Agent for CI review.

In Short​

Keploy’s AI-driven architecture turns CI feedback and your codebase into a robust, scalable set of unit tests—saving you hours and catching regressions before they hit production.