Focused on AI programming, sharing ready-to-use development efficiency solutions.
This article compares raw API calls with LangChain's abstractions, explains when to use ChatModel versus LLM interfaces, demonstrates model selection across providers, shows how to build prompt templates and output parsers, and provides a complete Python example with error‑handling best practices.
This article introduces LangChain’s four core components—Model, Prompt, Chain, and Agent—explains their purposes, shows how to install and configure the library, demonstrates building pipelines with LCEL, and provides code examples for agents, parallel execution, and environment setup.
This article provides a comprehensive Docker knowledge map covering core concepts, essential commands, Dockerfile instructions, multi‑stage builds, networking modes, storage options, security best practices, and a set of high‑frequency interview questions to help readers master Docker in 14 days.
This tutorial walks through cloning Docker's official Todo App sample, explains the project layout, provides multi‑stage Dockerfiles for a Node.js backend and a Vue/React frontend with Nginx, configures Nginx for SPA routing and API proxy, defines a docker‑compose stack, and shows how to build, run, and scan the images with Docker Scout.
This guide outlines Docker's three security pillars—image, runtime, and network—by recommending official images, regular updates, vulnerability scanning, non‑root users, read‑only filesystems with tmpfs, capability dropping, secrets management, and tools like Docker Scout and Trivy, followed by a concise checklist.
This article demonstrates how to apply Docker's official recommendations—multi‑stage builds, build‑cache mounts, and non‑root users—to create production‑grade images, reduce layer count, and cut CI/CD build times roughly in half.
This tutorial extends the previous FastAPI example by adding Redis caching and Celery asynchronous tasks, showing the project layout, a complete docker‑compose configuration, required Python packages, sample FastAPI and Celery worker code, startup commands, health‑check setup, and key takeaways.
This article explains how Docker can streamline local development by isolating environments, using Docker Compose for multi‑service setups, enabling instant code changes with bind mounts or the official develop:watch feature, and simplifying database connections and common dev commands.
This article explains Docker’s default bridge, host, and none networks, shows how containers on the same bridge can reach each other via IP or service name using Docker’s embedded DNS, demonstrates custom network creation for isolation, covers port mapping, host access, and troubleshooting techniques.
This guide explains why container file systems are transient, compares three Docker storage methods, and demonstrates how to use named volumes—both via the CLI and docker‑compose—to ensure data remains intact after removing containers, with a MySQL persistence example.
