The Irony of MCP: Layers of Abstraction to Teach LLMs What We Already Knew
A reflection on building an MCP SDK and implementing codemode, only to realize we've over-engineered a solution to a problem we solved decades ago with documentation.
Thoughts on machine learning, quantum computing, software engineering, and technology trends.
A reflection on building an MCP SDK and implementing codemode, only to realize we've over-engineered a solution to a problem we solved decades ago with documentation.
A comprehensive performance benchmark comparing Flutter, React Native, and Native development (Swift/Kotlin) using real-world test cases. Covers startup time, frame rendering, memory usage, build times, and database operations with scientific methodology on physical devices.
A strategic decision framework for choosing between Flutter, React Native, and Native development in 2025. Covers performance benchmarks, engineering effort analysis, business impact, and risk assessment for mobile app development.
Exploring the challenges and solutions for electric vehicle charging infrastructure planning. Covers GIS-based analysis, Multi-Criteria Decision Analysis (MCDA), predictive modeling, and case studies from Oslo, Barcelona, and Shenzhen.
Exploring how smart EV charging infrastructure, demand forecasting, and predictive intelligence are driving the future of sustainable transportation. Covers infrastructure misalignment, operational inefficiencies, and data-driven solutions.
A comprehensive introductory guide to time series forecasting covering fundamental concepts like autocorrelation, trend, seasonality, and stationarity. The article walks through the complete forecasting workflow—from data collection and preprocessing to model selection and evaluation—with a practical SARIMA implementation.
A foundational guide to understanding ARM assembly instructions and their role in computer architecture. Learn about OPCODES, CPU architecture, ARM cores, and how high-level code translates to machine instructions.
A comprehensive review of microservice architecture covering its evolution, core principles, communication patterns, deployment strategies with Kubernetes, serverless computing, and concurrency challenges like race conditions and deadlocks.
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