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Dynamic effort parameters and context compaction APIs give developers finer control over reasoning cost and long-running agent memory.
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Agentic AI systems are triggering a structural repricing of enterprise SaaS as autonomous agents threaten seat-based licensing models entirely.
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Large language models fail to detect semantic backdoors like the XZ exploit. Why AI-assisted code review requires Meaningful Human Control and human-in-the-loop governance.
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February 2026 marks the definitive industrial transition from prompt-response chatbots to autonomous agent architectures. Claude Opus 4.6, Gemini 3.1 Pro, and OpenAI's GPT-5.3-Codex embody three fundamentally divergent strategies for the agentic era — depth and safety, breadth and multimodal integration, and unified coding-agent dominance.
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