Nitro.js is a JavaScript-based HTTP server. It builds on state-of-the-art components, focusing on performance, convention, and deployment. As a JavaScript developer, you want to know about Nitro ...
India’s global capability centres have recorded a 131 percent year-on-year increase in demand for artificial intelligence (AI) specialists, with 3,500 roles currently open, according to data from ANSR ...
Some call it “vibe-coding” because it encourages an AI coding assistant to do the grunt work as human software developers work through big ideas. Others dislike that term. But there’s no question that ...
Citi is putting most of its employees through prompt training in the hopes of improving productivity. What's at stake: Poor prompting risks degraded competitiveness and slower operational outcomes.
MMLU-Pro holds steady at 85.0, AIME 2025 slightly improves to 89.3, while GPQA-Diamond dips from 80.7 to 79.9. Coding and agent benchmarks tell a similar story, with Codeforces ratings rising from ...
Sabrina Farmer explains how GitLab’s platform for the software development lifecycle is using AI to help eliminate developer toil and drive innovation ...
In a world where artificial intelligence (AI) is becoming so integrated into business workflows, new risks are materialising. Ami Luttwak, Chief Technologist at Wiz, a cybersecurity company acquired ...
These financial services executives explain how they balance automation with compliance – and there are important lessons for all business leaders.
These financial services executives explain how they balance automation with compliance – and there are important lessons for all business leaders.
In light of recent cyberattacks and growing security concerns, GitHub is taking immediate and direct action to secure the open-source software supply chain.
GitHub Copilot app modernization is now generally available in Visual Studio, providing AI-powered upgrades and Azure migration for .NET apps, with automated remediation, CVE scanning, and ...
Zapier reports on vibe coding, highlighting best practices like planning, using product requirements documents, and testing often for effective AI-driven development.
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