Systems | Development | Analytics | API | Testing

Workflows determine how organizations conduct processes. These workflows can initially be very straightforward—just a simple series of steps that must be completed sequentially to achieve a particular outcome. However, the steps can become more complicated as business processes and requirements become more extensive. Your organization needs to keep these workflows running smoothly even as they become more complicated.

Your organization is likely sitting atop vast quantities of diverse data. However, all that data must undergo certain processes before you can fully leverage it. Data discovery is among those processes. Let’s learn more about it.

Does your application function as expected across the many devices your customers use? People use the same application across a wide range of gadgets, including mobile phones, smart TVs and streaming devices, gaming consoles, and desktop web apps. It’s imperative that all versions of your application work consistently and as expected across various platforms.

Smoke testing and regression testing play crucial roles in ensuring the functionality and reliability of software applications. Although both test software’s functionality, their purposes differ, and they occur at different stages of development. Understanding the differences between these two testing types can help effectively manage and maintain software quality.

A quality assurance (QA) test plan or a software test plan is a document that outlines the steps, approaches, tools, and best practices for carrying out QA testing for your project. The purpose of a QA test plan is to define testing goals and objectives while considering cost, project requirements, and delivery timelines. Ultimately, this document ensures that all stakeholders are unified in their commitment to delivering a high-quality product.

The 2024 Stack Overflow developer survey results included critical themes and sentiments around AI and the developer experience. With responses from over 65,000 developers in 180 countries, this report provides a comprehensive overview of the current state of software development. In this article, we’ll examine some of the report’s key trends and highlights and their strategic implications.

The Testing Pyramid is a framework in software development that helps organize and manage different types of tests. Its purpose is to ensure efficient and effective testing by structuring tests into a hierarchical model. At its core, the Testing Pyramid emphasizes the importance of having more low-level tests that are quick to execute and fewer high-level tests that are more complex and time-consuming.

While Salesforce is a much celebrated CRM tool in the industry, it’s no perfect tool just like any others. It offers limited flexibility for on-the-fly data manipulation compared to Excel. Salesforce can be complex to set up and use effectively, particularly for users without technical expertise. It often requires training or support from Salesforce administrators to fully utilize its capabilities.

Ramkumar Nottath, the Senior Solutions Architect at AWS, beautifully puts it. And that’s where low-code or no-code ETL platforms can help—to make the data consumable and democratize it. In this blog, I explain low-code vs. no-code from my experience.

In 24.2, we introduced our enterprise copilot. Enterprise copilot allows you to upload business documents and collect them in knowledge sets. From there, you can ask questions about information in these documents and receive answers quickly. For instance, an organization with a heavy regulatory burden could upload legislative and operational documents. Then, these employees could get insights from Appian AI Copilot to ensure they adhere to compliance requirements.