Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Software development

Google Launches AI Coding Assistant ‘Jules’ to Enhance Developer Productivity

Google has launched Jules, an AI-powered coding assistant designed to help developers fix coding errors efficiently. This tool, part of the Gemini 2.0 upgrade, enhances coding in Python and JavaScript within GitHub workflows. Jules automates bug fixes and repetitive tasks, allowing developers to focus on project building while maintaining control over the coding process. With AI increasingly shaping software development, Jules represents a significant advancement in coding efficiency.

GitHub Copilot’s Code Quality Claims Questioned by Developer

GitHub’s claims about the effectiveness of its Copilot AI model in improving code quality are under scrutiny. Romanian developer Dan Cîmpianu questions the study’s statistical rigor, highlighting concerns over the task’s complexity and the clarity of GitHub’s findings. As developers increasingly rely on AI tools, the need for transparent research and critical assessment of these technologies becomes essential for maintaining code quality.

Globant Introduces New AI Agents to Advance Software Development Life Cycle

Globant introduces new AI Agents to advance the software development life cycle, enhancing core development capabilities with artificial intelligence. These AI Agents streamline product definition, backend prototyping, and application design, revolutionizing the development process and driving innovation across industries.