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

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

Every evolution in software development has reduced the friction between an idea and a deployable application. AI may remove ...

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

AI is generating code faster than developers can understand it, and leaders are celebrating the velocity without asking who’s ...

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 artificial intelligence (AI) observability managed service providers (MSP), it’s not a case of treating it ...