Systems | Development | Analytics | API | Testing

The Impact of AI and Machine Learning In Quality Assurance

Some of the popular AI tools people and corporations are using now include ChatGPT, Google Gemini, and Microsoft Copilot. This has resulted in higher usage and adoption of this technology and this has caused some worry among people, particularly in terms of employment. However, for software testers, these changes should be seen as a chance to improve rather than a threat.

Getting Started with Countly's Desktop SDK Integrations

In an era dominated by mobile apps, desktop applications remain vital across numerous industries. From gaming to enterprise solutions, tracking desktop app performance, user behavior, and feedback is crucial. While mobile tracking is a well-established practice, companies also need to pay more attention to the importance of desktop tracking. Despite the importance of desktop applications, many analytics platforms remain heavily focused on mobile tracking.

Overcoming Test Automation Pitfalls: Lessons from Real-World Failures

In today’s fast-paced software development world, automation promises speed, efficiency, and accuracy. However, teams often face several obstacles as they move towards building a successful test automation practice. From choosing the right tools to maintaining scalability, the path can be filled with costly pitfalls if not navigated strategically. In this thought leader discussion, industry veterans Ravi and Ram share insights from decades of experience, covering real-world examples of test automation gone wrong and offering expert advice on how to overcome these challenges.

AI-driven test strategy and its impact on software quality

While still in its early days, artificial intelligence is becoming a driving force behind innovation in software testing. While automation has improved testing efficiency, AI can take it further by influencing critical decision-making. Rather than reacting to issues as they arise, teams can now identify potential problems earlier in the development cycle. In this article, we’ll explore how artificial intelligence can help teams rethink their testing strategies.

Using Moesif with Middy and Serverless for AWS Apps

See the GitHub repository for the source code of this article’s example project. Serverless is a popular framework to build serverless apps using AWS Lambda on the Node.js runtime. Serverless automatically orchestrates necessary resources on AWS and can scaffold a basic project for you that you can build up on. You can solely focus on your application’s core logic, development, and your Lambda functions.

A Comprehensive Guide to Test-Driven Development in Software Engineering

I often wonder about Steve Wozniak’s claim that the first computers were built to help “common people rise.” Correlating the evolution of software with the upheaval of our human society brings a very hopeful sentiment. Now, software engineering methodologies cater to more nuanced requirements of our “rising,” such as allowing space to correct mistakes (agility) and openness to feedback (adaptability).

insightsoftware EPM

CFOs face the continual challenge of making sense of ever-increasing volumes of complex financial data. Enterprise performance management software, commonly known as EPM, is the solution. Traditionally, CFOs have faced a tough choice: an all-in-one EPM solution with limited functionality, or a best-of-breed approach that's complex to integrate. insightsoftware EPM offers the best of both worlds. The insightsoftware Platform supports comprehensive connected applications for planning, closing, disclosing, and analyzing, all working from the same consistent view of data.

Essential Free API Testing Tools Every Developer Should Know

API testing is an essential aspect of contemporary software development, ensuring that the interfaces between various components and systems function correctly. In this blog post, we will dive into some of the top free API testing tools that every developer should know about! From basic HTTP clients to comprehensive testing suites, these tools cover a wide range of needs and skill levels, helping developers create more robust and reliable applications. Get ready to supercharge your development process!

Introducing pipe syntax in BigQuery and Cloud Logging

Writing complex SQL queries can be challenging, but BigQuery's new pipe syntax offers a more intuitive way to structure your code. Learn how pipe syntax simplifies both exploratory analysis and complex log analytics tasks, helping you gain insights faster. Watch along and discover how to leverage pipe syntax in BigQuery for a more efficient analytics experience. Chapters: Speaker: Jeff Nelson Products Mentioned: Cloud - Data Analytics - BigQuery.