OpenAI's GPT-5.2-Codex advances software engineering with better reasoning and context understanding - SiliconANGLE ...

Context engineering is reshaping modern AI by grounding systems in relevant data and enabling more accurate, trustworthy agentic applications.

Codex, introducing "context compaction" for long tasks and raising API prices by 40% to target enterprise engineering.

Investing.com -- OpenAI released GPT-5.2-Codex on Thursday, its most advanced agentic coding model designed for complex software engineering tasks. The new model builds upon GPT-5.2 with improvements ...

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 ...

Companies are realizing that higher AI productivity does not come from using bigger models, but rather from using AIs that understand the context they operate in. Context helps AI interpret ...

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 ...

By uncommon coincidence, perhaps, AI-first software code orchestration layer company Zencoder has now launched the Zenflow ...

While prompt engineering will remain vital, getting consistent, situationally aware results from AI models will require IT teams to build context ingestion processes for agentic AI. Organizations ...

Gen AI in software engineering has moved well beyond autocomplete. The emerging frontier is agentic coding: AI systems ...