44 related articles

An in-depth analysis of gRPC's core architecture: HTTP/2 multiplexing, Protocol Buffers serialization, and unified multi-language implementation, covering microservice communication and cloud-native integration.

A systematic guide to cross-region packet loss monitoring covering core challenges, tool comparison (MTR, SmokePing, PRTG, Zabbix, ThousandEyes), and a self-hosted deployment solution using Prometheus + Grafana.

In-depth review of Panel AI v1.1.1: second-level installation, no-public-IP networking, batch compute cluster management. Learn how enterprise AI on-premises deployment barriers are dramatically lowered.

Learn the core concepts behind FastAPI: frontend-backend separation, API interface design, and RESTful specification. Master resource-oriented design before writing your first line of code.

Learn how AI Skills are transforming software testing. This guide covers Skill architecture, learning paths, and real-world applications in API automation and WebApp testing.
Protocol Buffers Deep Dive: Principles…
A deep dive into Google's open-source Protocol Buffers (Protobuf): binary encoding, schema definitions, gRPC integration, and real-world microservice use cases.
Designing APIs for AI Agents: A Paradi…
When AI Agents become the primary API callers, traditional interface design assumptions break down. This article explores agent-friendly API design principles and how MCP is driving this paradigm shift.
GitHub Daily · July 17: AI Coding Infr…
AI coding infrastructure explodes on GitHub: context management, code graphs, and vector indexes become the new battleground as the community shifts from apps to underlying capabilities.

Deep dive into MCP (Model Context Protocol): clarifying the three-layer relationship between MCP, Function Calling, and Agents, covering protocol roles, call flows, transport choices, and production security for AI developers.

A comprehensive analysis of ASP.NET Core's architecture and technical strengths: cross-platform deployment, high-performance Kestrel server, modular middleware, built-in DI, and modern web capabilities like Blazor, gRPC, and SignalR.

When multiple AI coding agents work on the same codebase simultaneously, how do you avoid interface conflicts and coordination chaos? A deep dive into Git worktree isolation, contract-first design, and intent declaration.

An in-depth look at Terraform's core principles and workflow, covering declarative configuration, the multi-cloud Provider ecosystem, IaC best practices, and license changes. Helps DevOps engineers master the industry-standard tool for infrastructure automation.

How can new graduates transition from software engineer to platform engineer? This article breaks down the path of joining as a Grad SWE first, then transferring internally, analyzes C# vs Python trade-offs, and offers a 14-month prep plan for AI/ML infrastructure.

A deep dive into Google's open-source C++ library Abseil: Swiss Table hash containers, string utilities, time APIs, concurrency primitives, and error handling with absl::Status.

July 11 GitHub Daily: Three Agent Skills projects surge on the same day, signaling AI programming's shift to skill standardization, with cross-platform open standards and local Agent memory leading the way.

An in-depth analysis of the "any Agent as an orchestrator" design philosophy, exploring the technical implementation of multi-Agent collaboration, context management, and workflow automation.

July 10 GitHub Daily: The Agent Skills ecosystem explodes as over half of trending projects revolve around AI coding Agent skill libraries, with MCP as the standard interface.

Davit is an open-source native macOS UI tool built for Apple Containers, offering graphical container status management, image viewing, and log monitoring.

In-depth review of the Xiaodu Health Screen: a 10.1-inch large display with an AI large model, supporting remote care, emergency calling, and smart companionship, designed for the elderly. Final price as low as ~598 yuan with national subsidies.

The agentskills open-source project aims to solve AI Agent ecosystem fragmentation through standardized skill specifications enabling portable, composable, and reusable agent capabilities.