Focuses on code debugging, performance optimization, and real-world engineering, sharing efficient development tips and pitfall guides. We break down technical challenges in a down-to-earth style, helping you craft handy tools so every line of code becomes a problem‑solving weapon. 🔧💻
This article explains how to demonstrate real‑world system‑engineering expertise in Go interviews by mastering incident triage, diagnosing CPU, memory, GC, and goroutine problems, and applying a three‑step "stop‑bleed, diagnose, cure" strategy to keep services alive.
After abandoning Go‑Kit, the author refactors the EasyMS project into a fully controllable Golang microservice skeleton, detailing design goals, configuration system, service registration, middleware, and future enhancements while providing practical code examples and repository links.
This article breaks down the core concerns interviewers have for senior Go engineers—system stability, middleware pitfalls, Redis risk isolation, message‑queue buffering, distributed consistency, configuration management, ID design, and avalanche prevention—offering concrete insights and practical interview answers.
This article equips Go backend developers with deep, interview‑ready knowledge of database internals—covering how indexes truly work, why queries can still be slow, transaction isolation levels, lock types, MVCC mechanics, and connection‑pool tuning—to avoid performance pitfalls and stand out in technical interviews.
This article provides a comprehensive, low‑level explanation of Go’s CGO bridge, covering its purpose, performance overhead, scheduler interaction, pointer safety rules, memory‑management guidelines, common use‑cases, scenarios to avoid, optimization techniques, and a collection of high‑frequency interview questions with model answers.
This comprehensive guide covers the core Go concepts most frequently asked in interviews—including goroutine scheduling, channel communication, interface internals, garbage‑collection mechanics, toolchain utilities, error handling patterns, and struct memory layout—providing clear explanations, code examples, and practical tips to help candidates transition from writing Go code to truly understanding the language.
This guide walks you through creating a Memory v3 module for a Go‑based AI agent, enabling long‑term storage of preferences, tasks, and context so the agent can recall and leverage past interactions for more personalized responses.
This tutorial walks through the core architecture of a Golang AI Agent, detailing the ReAct reasoning loop, tool‑calling mechanism, web‑search implementation, metadata handling, and the complete closed‑loop workflow that turns a simple chatbot into a local AutoGPT‑style assistant.
This article walks you through creating a fully offline, extensible AI programming assistant in Go, using Ollama and DeepSeek‑R1, covering project layout, message formats, function calling, tool integration, a simple WebSocket UI, and future extension ideas.
This tutorial walks through extending a Go mini‑blockchain with transaction structures, hashing, signatures, a mempool, block verification, proof‑of‑work consensus, mining rewards, and a balance‑query example, providing complete source code for each step.
