Qoder

What is Qoder?

Qoder is an AI-powered agentic programming tool launched by Alibaba . It deeply understands the entire codebase architecture, memorizes and learns your habits, supports the MCP tool ecosystem expansion, and provides context-aware code completion, inline chat, and one-click “wiki-ization” of code structure, automatically selecting the best model. Qoder is not just a simple code completion tool; it aims to become a true “thinking partner” for developers. During the preview phase, all features are available for free, helping developers focus on solving real-world software challenges.

Qoder 1.0 has upgraded from an AI IDE to a workbench for autonomous agent development; users only need to define their requirements, and the agent team can “drive itself,” autonomously completing the entire process of execution, verification, and delivery. Currently, it is available for download and experience on Windows, macOS, and Linux platforms.

Qoder’s main functions

• Intelligent code repository semantic search : locate related symbols, call chains and dependencies across files and modules in seconds. Qoder supports both natural language and regular expression dual-mode queries and highlights the impact area.
• Deep architecture insights : Automatically build dependency graphs, domain boundaries, design patterns, and potential technical debt reports to pinpoint root causes of problems and provide layered remediation solutions.
• Persistent Memory Engine : A dual-layer memory system at both the session and project levels records developer style, team norms, and historical decisions. The more you use it, the better it understands you and automatically applies it in subsequent interactions.
• Dynamic optimal model routing : Qoder can select the most suitable LLM in real time based on language, task type, and performance budget, achieving optimal speed and accuracy without manual switching.
• Context-aware completion : Integrates multimodal information such as tens of thousands of tokens before and after the cursor, directory structure, images, logs, and documents to generate line-level completion and prediction of the next editing step.
• Inline Chat & Refactoring : Engage directly with your code, supporting explanations, unit test generation, refactoring, and performance profiling, all while maintaining a flow state without switching windows.
• One-click “wiki-ization” of code repositories : Automatically generates interactive architecture knowledge graphs, module responsibility statements, and API manuals, supporting full-text search and version comparison.
• MCP tool ecosystem : Seamlessly integrates with external tools such as databases, APIs, browsers, and terminals through the Model Context Protocol, enabling a one-stop solution for reading, writing, debugging, and deployment.
• Multimodal input understanding : Qoder supports screenshots, design drafts, log files, PDFs, sequence diagrams, etc. as context, improving the accuracy of requirement understanding and defect reproduction.
• Zero-configuration team synchronization : Memories, rules, and architecture diagrams are synchronized in real time to the cloud, automatically initializing the environment for new members and ensuring that the team’s coding style and understanding are consistent.
• Qoder 1.0 upgrade update :
  • Quest Standalone Window : Upgraded from the IDE’s built-in mode to a standalone window, integrating task management, state tracking, and knowledge retrieval, becoming an agent-first paradigm development workbench.
  • Multi-task parallel operation across projects : Supports running Agent tasks for different projects simultaneously across multiple Workspaces, and allows real-time tracking of global progress through a unified dashboard.
  • Team Shared Knowledge Engine : Integrates memories, Repo Wiki, and knowledge cards into a unified team knowledge base, enabling knowledge sharing and continuous optimization among members.
  • Experts join Quest : The Experts mode has been officially introduced to the Quest window, supporting pipeline-style expert collaboration and allowing developers to customize their own Agent teams.
• Enterprise Edition : Enables cross-team sharing of enterprise code assets and documents through the cloud-based knowledge base QMind, supports on-demand allocation of Credits resources in a pooled manner, and balances security and compliance with flexible billing.

How to use Qoder

• Visit the official website : Use a computer browser to visit the Qoder official website (https://qoder.com/) and download the corresponding version according to your system.
• Installation and usage : Qoder currently supports Windows and Mac computers (both Intel and Apple chips are supported). After downloading the installation package, install it and register an account to log in.
• Upon first launch, a browser login page will pop up. Log in with your GitHub / GitLab / Google account. Select the repositories you want to authorize. Then return to your local IDE.
• Let AI understand the entire project : After starting, click “Open Folder”, select the project, and start indexing automatically.
• Assign tasks using Quest Mode
  • Click the Qoder icon in the sidebar → select “Quest” → describe the task in natural language in the input box, for example:

    Upgrade all usages of Axios to the latest version and open a PR

  • Click “Submit Quest” → The background agent executes asynchronously → Once completed, you can view the diff and one-click PR merging in the notification center.
• Use memory to solidify team standards
  • Open the command palette (Ctrl+Shift+P) → “Qoder: Open Memory Rules” → Add rules in the opened JSON.
  • After saving, all autocompletes and Quests will automatically follow this rule; if you need to share, click “Share” in the upper right corner to generate a link for team members to import with one click.

Qoder’s core advantages and differences

Traditional programming tools simply help you “write code,” while Qoder is like a senior colleague who “has read all your code, remembers all your habits, and can do the work for you across systems.”

• Panoramic Context : Traditional programming tools only look at a few dozen lines near the cursor, while Qoder reads the entire repository, historical commits, images, documentation, and external API documentation into the context window in milliseconds, truly achieving “code as a knowledge graph”.
• A Memory That Grows : Traditional tools reset to zero with every restart, but Qoder’s Memory continuously accumulates personal style, team norms, and business rules, allowing for instant synchronization when switching projects or computers.
• Quest Asynchronous Proxy : Traditional plugins can only complete synchronously, but Qoder’s Quest Mode manages tasks that span hours or even days, such as “upgrading dependencies, batch refactoring, running tests, and submitting PRs,” to the background and pushes the results after completion.
• MCP Unlimited Add-ons : Traditional extensions rely on slow updates from the plugin market, while Qoder, through the open MCP protocol, can instantly connect to databases, Jira, Docker, and cloud resources, just like installing extensions in a browser, with capabilities available on demand.
• Zero-decision model routing : Traditional programming tools require manual selection of GPT-3.5/4, while Qoder automatically selects the most suitable model based on language, task complexity, and cost budget, so developers do not need to worry about “which AI to use”.
• Inline functionality means full functionality : Traditional refactoring requires jumping to a window and running scripts, while Qoder allows you to directly interact within the editor to complete explanations, generate unit tests, perform performance analysis, and apply patches with one click, all without leaving the IDE.

Qoder’s application scenarios

• Large-scale code migration : Initiate a Quest with one click, allowing AI to complete cross-repository dependency upgrades in the background (such as Axios v0 → v1, Python 2 → 3, Spring Boot 2 → 3), while generating a compatibility layer, fixing breaking changes, and submitting a PR.
• Architectural corruption governance : Using a panoramic dependency graph and “wiki-like” reports, circular dependencies, obsolete modules, and duplicate implementations are automatically identified; Quest then refactors according to layered specifications and continuously remembers the team’s newly defined architectural principles.
• Legacy system reverse engineering & documentation completion : Take an old project with millions of lines of undocumented data to Qoder, and it will generate an interactive architecture knowledge graph and API manual in 5 minutes; any newcomer who asks “How does this business function?” can get a link-level answer directly in the in-line chat.
• Test left shift & coverage completion : Select a module → Inline Chat “Generate unit tests for all public methods and achieve 80% line coverage” → Quest automatically writes tests, runs CI, and marks failed test cases as issues to be fixed.
• Multi-language microservice collaborative development : In a mono-repo containing Go, TypeScript, and Python, Qoder automatically selects the best model and uses MCP to call the respective linter/formatter/Docker build, ensuring cross-service interface consistency and version synchronization.
• Requirements ↔ Code bidirectional traceability : The product manager pastes screenshots of the Figma prototype and Jira requirements into Quest. Qoder automatically generates corresponding front-end components, completes routes, fills in fake data, and binds API drafts through visual understanding and requirement text.
• Automated security and compliance auditing : By connecting to the OWASP MCP Server, Quest will automatically run SAST and license scans after each commit. If a CVE is found, a PR will be submitted immediately to patch it and update the SBOM. Memory will solidify the company’s compliance rules to prevent recurrence.