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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. AI Coding Doesn’t Have an Intelligence Problem. It Has a Continuity Problem.

    The current limitations of AI in software development stem not from a lack of intelligence, but from a failure in continuity. Existing AI tools often treat each interaction as a fresh start, requiring developers to repeatedly re-explain project context. Contorium is developing a solution called Runtime Continuity, which aims to maintain a project's understanding across different AI models, tools, and sessions, rather than solely relying on the AI's memory capacity. AI

    AI Coding Doesn’t Have an Intelligence Problem. It Has a Continuity Problem.

    IMPACT This approach could significantly improve developer productivity by reducing the need for repeated context re-explanation across AI tools and sessions.

  2. Beyond Context Windows: Building Runtime Continuity for AI Development

    Contorium is developing a new approach called Runtime Continuity to address the challenge of project knowledge loss in AI development. Current AI systems often operate in isolated sessions, leading to repeated explanations of project goals, decisions, and constraints. Runtime Continuity aims to create a persistent layer of shared project understanding that persists across different tools, sessions, and developers, treating context as an evolving project asset rather than a temporary prompt. AI

    Beyond Context Windows: Building Runtime Continuity for AI Development

    IMPACT This approach could significantly improve AI development workflows by reducing redundant information sharing and enabling better collaboration.