The article explains a step‑by‑step method for safely handling the accidental Claude Code source leak, from forking the repository and cloning it locally to generating a comprehensive Repo Wiki with Qoder, then turning that Wiki into reusable AI Skills.
This article explains how to create and use Jar Skills in the Qoder JetBrains plugin to embed SKILL.md files inside Java JARs, extract them with the skillsjars‑maven‑plugin, and leverage these skills—along with @openFiles—to enhance AI‑assisted coding, provide best‑practice documentation, and improve code generation for internal and third‑party libraries.
This guide explains how to use slash commands in the Qoder AI coding assistant to bypass project scanning and web searches, saving time and tokens while delivering precise answers, and provides concrete command examples, implementation details, and best‑practice tips for developers.
This guide demonstrates how JetBrains IDE users can integrate the Qoder AI plugin to accelerate backend development, covering installation, configuration, performance tuning of deep‑pagination queries, and safe incremental refactoring of legacy Java code with detailed code examples and results.
This guide walks you through installing Qoder IDE, adding the OpenClaw skill, enabling the ACP protocol, configuring Qoder CLI with your API token, and using simple /acp commands to let OpenClaw delegate coding tasks to Qoder without leaving your chat interface.
This article explains how Qoder’s slash commands can eliminate unnecessary project scans and web searches, showing side‑by‑side comparisons, command file structures, customization tips, and best‑practice recommendations to speed up AI‑assisted coding while saving tokens.
This guide shows how to export a tangled Coze workflow, feed its YAML and related JSON files into the Qoder AI coding assistant, let the model analyze the mis‑aligned subtitle timestamps, receive concrete fixes, and even tweak background music through natural‑language prompts.
After two months of using Alibaba’s Qoder AI coding platform, the author explains why it beats alternatives on cost, compliance and maturity, debunks common myths, shares eight hands‑on best‑practice tips, and presents three real‑world case studies that show its impact on backend and frontend development.
This article shares a hands‑on comparison of three AI‑powered IDEs—Cursor, Qoder, and Trae—detailing their features, pricing models, token or credit limits, practical usage tips, and performance differences to help developers choose the right tool for enterprise‑level coding.
