The essential infrastructure that makes Copy-and-Patch JIT development and debugging practical. We explore the multi-architecture disassembler for validation and software CPU emulator for cross-platform testing and debugging.
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How Cognica Database Engine breaks the JIT compilation latency barrier. We explore Copy-and-Patch JIT compilation, a technique that achieves 2-10x speedup over interpretation while keeping compilation time under one millisecond per kilobyte of bytecode.
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An AI Database That Works Identically On-Device
December 23, 2025
We examine the database architecture changes required by on-device AI. Just as SQLite was the answer for on-device computing, on-device AI requires a new database that integrates transactions, analytics, full-text search, and vector search. We explain why Cognica works identically on-device and on servers.
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Structural Limitations of Legal Case Search and the Need for Single DB with Vector Search
December 9, 2025
This article provides a technical analysis of why legal case search is challenging in the legal services market. We examine the structural characteristics of legal case data and the limitations of existing distributed architectures (RDB + ElasticSearch + Vector DB), and explain why integrated search based on a single database is necessary.