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Exploring the frontiers of AI, software architecture, and engineering.
Running ML in the Browser: The Engineering Behind Client-Side Inference
Web Workers, chunked parsing, typed arrays, and memory cliffs: the real engineering behind running statistics and ML entirely in the browser.
Read Article →Correlation Is Not Causation: Using a Correlation Matrix Without Fooling Yourself
Spurious correlations, confounders, and outlier-driven r values: how to use a correlation matrix for hypothesis generation without fooling yourself.
Read Article →The Rise of Autonomous Agents in 2026: Beyond Simple Chatbots
Beyond simple chatbots: how autonomous agents that reason, plan, and execute independently are reshaping software in 2026 — and why browser-native agents are the next frontier.
Read Article →Why We Chose Browser-Native Architecture for Our Products
The architectural case for skipping the server: how browser-native apps deliver better privacy, lower latency, and faster iteration — and the real tradeoffs we encountered.
Read Article →KPI Visualization Done Right: Parsing Any Data Format in the Browser
How we built a multi-format data parser that handles CSV, JSON, XML, XLSX, JSONL, and YAML entirely in the browser — and auto-detects KPIs with statistical analysis.
Read Article →Software Architecture Principles We Live By at Aporia Systems
The seven architecture principles that guide every technical decision at Aporia Systems, from simplicity to zero-trust components to treating the browser as a first-class runtime.
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