No matter how hard testers try, achieving complete test coverage manually is nearly impossible. Every test needs data that looks real but is actually fake, and generating it the traditional way can be time-consuming.

Testing isn’t complete unless it covers various conditions, scenarios, or user roles. However, using real users or production data is often impractical or even risky. This is where realistic test data plays an important role. It bridges the gap between limited-scope testing and comprehensive testing that mirrors real-world usage.

Testing a product is just as important as building it. Every Salesforce solution, regardless of its complexity, must be thoroughly tested. But what sets successful projects apart is not whether they are tested, but how they are tested.

Things have changed over the past few years. Today, enterprise businesses are no longer limited to off-the-shelf solutions. Whether it's AI tools, CRMs, or analytics platforms, everything can be customized to match unique goals and workflows.

Salesforce is a highly customizable platform, and with customization comes the risk of bugs, errors, or even system breakdowns. Fortunately, these risks can be mitigated through thorough Salesforce testing.

Generating realistic test data can be challenging, especially in Salesforce, where maintaining relationships between objects adds an extra layer of complexity. Fortunately, a powerful test data generation tool like Smock-it can simplify this process,

Testing in Salesforce has evolved far beyond manual checks and UI validations. Nowadays, Salesforce QA professionals juggle multiple responsibilities, they need to validate functionality, ensure security, manage different environments, and speed up release cycles, all while maintaining high quality.

If you’re a Salesforce QA or developer, you have likely encountered the need to generate mock data. Let’s face it, manually creating test data is time-consuming and not scalable when working with large datasets. This is where free mock data generation tools like Mockaroo and Smock-it come into play.

We’re excited to take the big next step with Smock-it V3. A smarter, faster, & more streamlined way to generate Salesforce test data that mirrors real-world scenarios.

Industry experts Abhinav Gupta and Robin Gupta dived deep into how AI is transforming Salesforce QA and what you can do today to stay ahead of the curve. Missed the session? No worries — we’ve pulled out the most powerful insights for you below.

Tired of flaky tests in Salesforce CI/CD? Discover how Smock-it GitHub Action automates test data generation—boosting speed, consistency, and compliance across scratch orgs, UAT, and sandboxes. Explore setup, use cases, and FAQs!

Want to create test data for Salesforce within minutes? This blog explores the prospects of using Smock-it, a Salesforce CLI plugin designed to simplify synthetic test data generation in Salesforce.

Snowfakery and Smock-It are two powerful Salesforce test data generation tools. But which one is the right fit for you? Let’s compare their features, automation, and ease of use to help you decide.

Imagine using AI in your testing strategy—sounds interesting, doesn’t it? According to statistics, integrating AI into testing can reduce test design and execution effort by 30%, a clear sign of how artificial intelligence is transforming software testing.

Artificial Intelligence (AI) is revolutionizing every industry, and testing is no exception. While test automation has already transformed the QA landscape, AI is pushing these changes even further with its generative capabilities, self-healing scripts, and predictive analytics.

The AI revolution is here, and it’s changing everything. As the AI landscape grows rapidly and competition heats up, the innovation pace accelerates at every level—from core infrastructure upgrades to groundbreaking technical advances.

Testing a Salesforce solution can feel like juggling multiple priorities at once—be it unit tests, integration tests, or performance tests. Each Salesforce testing is important in the product development cycle, but handling them manually can become time-consuming and prone to errors.

Discover how to navigate the common challenges of implementing UTAM, from mindset shifts for QA engineers to managing dynamic UIs and limited ecosystems. This blog provides practical solutions to enhance productivity, reduce costs, and accelerate release cycles, backed by real-world case studies and credible sources. Learn how UTAM can transform your Salesforce testing strategy to ensure your applications are robust, reliable, and ready for any challenge they may face in today's fast-paced digital landscape.

Discover a comprehensive guide to End-to-End (E2E) testing, covering the Test Pyramid, expert insights from Fowler and Dodds, and practical strategies for enterprise architects. Learn how Salesforce and UTAM streamline E2E testing for seamless workflows and robust automation.

In today's hyper-digital enterprise landscape, Salesforce is the backbone of countless mission-critical operations—from lead nurturing to customer retention, revenue forecasting to service automation. Yet, its very strength—extensibility and rapid customization—introduces a paradox for businesses