At DevSparks Hyderabad 2026, UBS CTO Elango Somasundaram explored what comes after copilots: agentic AI that understands ...
2025 has seen a significant shift in the use of AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems process context. Provided ...
There’s no denying the excitement around Model Context Protocol (MCP), an open protocol for connecting AI assistants with external data, tools, and APIs. Since its debut by Anthropic in late 2024, ...
OpenAI’s GPT-5.2-Codex advances software engineering with better reasoning and context understanding
OpenAI Group PBC today released a new version of GPT-Codex, its agentic artificial intelligence coding model that’s designed to automate complex software engineering tasks. The latest version, GPT-5.2 ...
AI needs contextual interconnection to work. Model Context Protocol is an open standard developed by the maverick artificial intelligence startup Anthropic. It is designed to allow AI agents to access ...
Adronite® today announced the launch of Codistry™, an AI-powered coding platform designed to help engineering teams develop, understand and maintain complex software with greater accuracy, lower costs ...
A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework ...
To date, vibe coding platforms have largely relied on existing large language models (LLMs) to help write code. However, writing code is only one of many different tasks developers need to perform to ...
Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context engineering provides the foundation. Enterprises have spent the past two years ...
Prompt engineering was briefly the face of the AI jobs boom. In 2025, technology recruitment firm SPG Resourcing reported that UK job listings for AI prompt engineers had grown by 180% over the ...
IBM has released Granite 4.2, its first family of dense, decoder-only reasoning language models, in three sizes: 3B, 8B, and ...
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