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Most steps complete successfully. Fewer than half produce evidence that can change anything.


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Coding agents are getting smarter, but they still waste most of their tokens reading irrelevant code. Here is how AST-based semantic search, LSP, and a lightweight CLI can change that. We built an embedded lightweight semantic code search tool for coding agents that is complementary to LSP and this is what we’ve learned.


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An Essay on Language, Power, and the New Architecture of Intelligence

In the long history of human civilization, certain inventions fundamentally alter the relationship between human intention and physical reality. The ‘lever’ extended muscle. The written ‘word’ extended memory. The ‘printing press’ extended reach. Th...


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Accuracy tells you a model got the right answer. It doesn’t tell you whether to trust it, deploy it, or stake your product on it.Source: Image Generated using Nano Banana1. The number that broke AI benchmarking

In 2023, a major LLM scored over 85% on a widely cited reasoning benchmark. Researchers celebrated. Blog posts were published. Comparisons were drawn...


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How ontology-based models give businesses the semantic foundation to scale AI, analytics, and decision-making consistently.

Most organizations today are not struggling to collect data. They are struggling to make data mean the same thing across every system, team, and tool that consumes it.

That gap between data that exists and data that is understood, is e...


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