Code suggestion: Codebase-aware code completion
Qoder’s code completion engine goes beyond single-file analysis to understand the context of your entire project. By analyzing your codebase, dependencies, and existing patterns, it provides intelligent suggestions that are both syntactically correct and architecturally consistent. Key Capabilities:- Whole-function generation: Generates complete functions and code blocks, not just single lines.
- Predictive suggestions: Anticipates your next coding step based on the broader context of your work.
- Architectural consistency: Suggestions align with your project’s existing design patterns and coding style, reducing the need for refactoring.
Ask mode: Conversational problem solving
Ask Mode acts as an integrated AI expert that you can consult directly within your IDE. It synthesizes information from a vast knowledge base of technical documentation with a live understanding of your project’s code to provide accurate, context-aware answers. Use it to:- Debug code: Paste code snippets and error messages to get step-by-step debugging guidance.
- Troubleshoot runtime errors: Understand the root cause of cryptic errors and receive actionable solutions.
- Explain concepts: Ask for explanations of unfamiliar APIs, libraries, or programming concepts.
- Explore solutions: Discuss implementation strategies and architectural choices before writing code.
Agent mode: Autonomous task completion
Agent Mode allows you to delegate complex, multi-step development tasks to Qoder. Simply describe your objective in natural language, and the agent will autonomously create a plan and execute it from start to finish. How it works:- Objective: You provide a high-level goal (e.g., “Refactor the
UserServiceto use async/await”). - Planning: The agent breaks the objective down into a series of logical steps.
- Execution: It utilizes a suite of integrated tools to carry out the plan.
- Codebase Search and Navigation
- File Reading and Editing
- Integrated Terminal for running commands (e.g.,
npm install,git commit)
Customization: MCP & project rules
Qoder can be precisely tailored to your specific project needs and team standards through two primary mechanisms.- Project-specific rules: By creating configuration files in the
.qoder/rulesdirectory, you can instruct Qoder on your project’s specific conventions. This ensures that its suggestions and actions align with your preferred frameworks, coding styles, and architectural patterns. - Model Context Protocol (MCP): MCP is an integration layer that allows Qoder to connect to external data sources. You can use it to provide additional context, such as your company’s internal documentation, private APIs, or database schemas, enabling Qoder to generate code that is fully compliant with your proprietary systems.
Supported JetBains IDEs and versions
Requires JetBrains IDEs version 2020.3 or later. The plugin is fully compatible with both local and remote development environments. Supported IDEs include:- IntelliJ IDEA
- Android Studio
- PyCharm
- GoLand
- CLion
- …and other JetBrains IDEs.
- The plugin is fully functional within JetBrains Remote Development workflows (including SSH, WSL, and Dev Containers).