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How Claude Code Connects to External Tools Through MCP
Claude Code is more than an AI coding assistant that reads files and generates code. Through the Model Context Protocol (MCP), it can connect to external tools, APIs, databases, and services, extending its capabilities beyond the local development environment. But how does this connection actually work? This article explores the engineering behind MCP, from its client-server architecture and tool discovery process to request execution and external API communication. It also examines how Claude Code handles authentication, permissions, security risks, and reliability when interacting with external systems, revealing how a coding assistant becomes a connected engineering agent.
Inside DLD Toolkit For CSE KU: The Architecture Behind a Digital Logic Design System
DLD Toolkit For CSE KU is an offline digital logic design application built with C++17 and Qt 6. It brings Boolean analysis, circuit synthesis, and interactive simulation into one environment. This article explores the modular architecture, exact minimisation algorithms, event-driven simulation, and automated testing behind the application, revealing how engineering decisions shape its correctness, performance, and reliability.
Reducing AI API Fallback Latency: A Study Inspired by Cloudflare AI Gateway
Explore why fixed timeouts fail for AI APIs and how adaptive, speculative, and load-aware fallback strategies can sharply cut tail latency while controlling cost and overload risk. Drawing on Cloudflare AI Gateway patterns, this engineering study shows how to turn fallback from a simple emergency switch into a smart, measurement-driven control layer.

How ChatGPT Cuts Infrastructure Costs: The Engineering Behind ChatGPT's Battle Against Rising Compute Costs
OpenAI's ChatGPT triumphs over exploding compute costs through Mixture-of-Experts (MoE) architecture that activates only a fraction of its trillion-plus parameters per token, aggressive quantization, advanced KV cache management with paging and prefix caching, continuous batching for high GPU utilization, and speculative decoding. These optimizations, plus recent 2026 software wins cutting inference costs by over 50%, enable affordable, high-quality real-time responses at massive scale

Unveiling Cursor: How Advanced AI Agents and Custom Models Power Next-Gen Code Editing
Cursor represents a groundbreaking fusion of a Visual Studio Code fork and advanced AI agent technology, delivering an AI-native coding environment where custom models like Composer, semantic codebase indexing with vector embeddings, and speculative decoding enable lightning-fast, context-aware code generation and multi-file edits. Its agentic system leverages reinforcement learning, tool integration for file operations and testing, and parallel execution to autonomously plan, implement, and verify features from natural language prompts

Supabase System Design: The Platform That Powers Authentication, APIs, Storage, Realtime, and the Modern Backend
Supabase stands as a powerful open-source platform that redefines modern backend development by centering on PostgreSQL. It integrates essential services for authentication, APIs, storage, real-time updates, and edge computing while combining relational reliability with tools such as auto-generated APIs, JWT-based auth, global WebSockets, and serverless functions. This architecture ensures scalability, security, and portability for applications of all sizes
Editor's Picks

Unveiling Cursor: How Advanced AI Agents and Custom Models Power Next-Gen Code Editing

How Claude Code Connects to External Tools Through MCP
Reducing AI API Fallback Latency: A Study Inspired by Cloudflare AI Gateway

How Sora Generates Video: The AI Technology Behind OpenAI's Text-to-Video Model
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