Look to these tools to improve your AI coding practices and the quality, security, and reliability of your AI-generated code.

The automation waves of the past rewarded companies with the best systems, not the most robots, and AI will be no different.

Nandan Nilekani says Infosys' role in the AI era is helping enterprises bridge the gap between AI investments and real ...

AI-assisted software development has evolved significantly over the last few years, moving from isolated code completion toward structured execution models that resemble automation levels seen in ...

We can’t trust heavy users of AI to understand their code enough to fix it,' say maintainers who previously called the flood of vibe-coded pull requests 'demoralizing' ...

Why successful AI pilots rarely become enterprise success storiesClosing the AI execution gap between pilots and production value.Issued by Eblocks SoftwareJohannesburg, 01 Jul 2026 Tsholo Madi, ...

Explore the leading application security tools of 2026 designed for enterprises. Understand their features, pricing models, and integration guidance for Indian and APAC businesses to enhance cyber ...

Researcher Devashri Datta introduces AIVEX and SRIL, new approaches designed to bring context-aware risk analysis to software ...

When it comes to observability for artificial intelligence (AI) for managed service providers (MSP), it’s not a case of ...

By bringing Claude directly to its clients, Hexaware is reinforcing its AI-first strategy and positioning itself to support the entire AI lifecycle, from model access and customization to implementati ...

Tampere University has launched the SecureSoC project that aims to develop secure system-on-chip (SoC) technologies for future critical systems in Finland. This collaborative development initiative is ...