Mar 19 · 8 min read · Every production agent system I've worked on has the same failure mode. Context rot. Stale artefacts silently served to the model. No audit trail for what was included or excluded. Token budgets blown with no graceful recovery. Multi-agent context bl...
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Mar 19 · 5 min read · The OS-Paged Context Engine handles the technical lifecycle: what loads, what gets evicted, what passes validation. It produces an immutable manifest for every call. But the manifest tells you what the model saw. It does not tell you whether it shoul...
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Mar 18 · 7 min read · Most companies using AI are doing substitution. Replace a copywriter with GPT-4o. Replace a data analyst with a BI copilot. Replace support agents with a chatbot. These are real productivity gains. They are not compounding. The distinction matters be...
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Feb 28 · 4 min read · OpenCode issue #10704 landed this week: "Use provider-hosted web search when available." The request is specific and correct. Web search in most AI agents today is hardcoded: Exa integration, custom flag, API key. Even when the provider — Claude, Ope...
Join discussionDec 2, 2025 · 9 min read · What if your software testing framework could evolve from a static, rules-driven process into a dynamic, adaptive system empowered by agentic AI use cases and agentic AI applications that continuously optimize workflows? Instead of executing repetiti...
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Nov 6, 2025 · 14 min read · Introduction The future of software testing isn't just automated—it's agentic. While traditional test automation requires developers to write explicit instructions for every scenario, agentic QA systems use AI to understand, reason, and adapt their t...
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Jun 16, 2025 · 6 min read · Remember when cloud computing shifted from "interesting concept" to "business necessity" seemingly overnight? We're witnessing a similar inflection point with multi-agent AI systems, and most organizations are still treating this as experimental tech...
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