# Technical Overview

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SeaLights operates as a **code coverage and testing optimization platform**, offering valuable insights into your software quality throughout the development lifecycle. Let's delve into the core components of its architecture:

**Data Collection:**

* **Build Scanner:** Analyzes code changes and builds an **intelligent map** of your codebase, identifying modifications made in the latest build. This agent acts as the initial point of contact, scanning all binaries and artifacts.
* **Test Listener:** Collaborates with your existing test management tools, **tracking test execution** and **pinpointing which tests cover specific code areas**. This agent essentially listens to and analyzes the testing process.

**Data Processing and Analysis:**

* **Data Analysis Engine:** Combines the data collected by both agents, **calculating various test coverage metrics** and **identifying any gaps** in your testing strategy. It acts as the central processing unit, bringing together the information gathered by the agents.

**Actionable Insights:**

* **Reporting and Visualization Engine:** Transforms the raw data into **comprehensive reports and clear visualizations**, providing **actionable insights** to guide your decision-making. This component presents the data in a user-friendly format, helping you understand the collected information and make informed decisions.

**SeaLights in Action:**

1. **Code Changes Detected:** The Build Scanner identifies modifications in your codebase.
2. **Test Execution Tracked:** The Test Listener monitors your existing test suites and tracks their coverage.
3. **Data Analysis and Insights:** The Data Analysis Engine combines this information, calculating coverage metrics and identifying untested areas.
4. **Actionable Reports:** The Reporting and Visualization Engine generates reports and visualizations, highlighting potential risks and areas for improvement.

**Through this well-defined architecture, SeaLights empowers you to:**

* **Gain comprehensive visibility** into your software's **code coverage** across various testing types.
* **Identify untested code** and prioritize areas needing additional testing efforts.
* **Optimize your testing process** by focusing on the most relevant tests based on code changes.
* **Make data-driven decisions** to ensure the quality and stability of your software releases.

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