Tag: ai
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Language Capabilities of ChatGPT 4.0 vs Claude 3.5 Sonnet
Language capabilities have virtually changed from what it once was, thanks to the newest AI advancements that made huge leaps in language-based tasks. Fittingly enough, today, two so highly spoken-of models that usher content development, interaction, and debugging are ChatGPT 4.0 and Claude 3.5 Sonnet. Creating possibilities or tasks for the user has deservedly led…
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GPT-4 Cost: Everything You Need to Know Before Getting Started
AI has come as a game-changer in plenty of industries, with OpenAI’s GPT series setting the pace in natural language processing and decision-making abilities. The latest edition, GPT-4, promises even more powerful features, like enhanced accuracy, enlarged context window, and improved performance for grape tasks. However, before the adoption of this avant-garde technology, it is…
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Comparing GitHub Copilot vs. ChatGPT for Unit Testing
With the rise of AI-driven tools, the debate of ‘ChatGPT vs Copilot’ has become central for developers seeking productivity boosts in coding and testing. In this blog, we will dive into the key features, strengths, limitations, and use cases of these tools to help you understand their differences and make an informed decision on which…
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How AI code is Transforming the Future of Software Development
The world of software development is undergoing a huge transformation, due to the emergence of artificial intelligence (AI). AI-powered tools and methodologies are reshaping how we write, test, and deploy code, which is making our programming faster, more efficient, and more accessible. In this blog, we’ll explore the concept of code with AI, its applications,…
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The Impact of AI on Code Commenting and Software Documentation
In modern software development, clear code documentation and commenting are not only just a part of good practices, but also they are essential for effective collaboration, maintainability, and scaling projects over time. However, they are often neglected due to time constraints or lack of clarity on how much detail is necessary. But, with the advent…
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Revolutionising Unit Test Generation with LLMs
“Discovering the unexpected is more important than confirming the known.” – George E. P. Box As software systems grow in complexity, the importance of comprehensive testing cannot be overstated. However, writing unit tests is often a time-consuming and repetitive task leading to developer fatigue. In this blog we will over come the manual unit test…
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Exploring Testing in Production
Introduction In today’s world, every organization wants a scalable application that never breaks on a large amount of users. Testing in Production (TiP) helps you to focus on a few areas of the functionalities used in the application that usually remain unscripted. Understanding Testing in Production (TiP) First of all, I want to be clear…
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Exploring End-to-End Testing with AI
Introduction Being a developer, I’ve always understood the significance of testing in the software development process, and among all of them End-to-end (E2E) testing is a critical component, ensuring that all parts of an application work seamlessly together. But recently, the introduction of Artificial Intelligence (AI) has brought about a transformative shift in E2E testing.…
