CodeFlicker – AI native IDE programming tool launched by Kuaishou

CodeFlicker was launched by Kuaishou AI-native IDE Programming tools. Supports AI Q&A and automatic code completion, can understand developers’ questions and provide intelligent code suggestions. CodeFlicker introduces Agent-based AI programming, which can understand and perform complex programming tasks like human programmers, achieve end-to-end development, and can be completed automatically from requirements to code generation. A variety of interaction modes are available, such as Jam mode and Duet mode, which are suitable for immersive programming and teamwork respectively.

CodeFlicker’s main functions

• Smart Q&A and Code Completion : developers can ask CodeFlicker a question in natural language, providing exhaustive answers and examples of executable code. When writing code, it can intelligently predict and complete it based on the context.
• Agent-based AI programming : The built-in agent can understand the entire code base, perform complex programming tasks, and implement end-to-end development from requirements description to runnable code in some projects.
• Multimodal interaction :
  • Jam Mode : Suitable for individual developers, providing an immersive programming experience that can directly generate complete code from requirements descriptions.
  • Duet mode : Supports real-time collaboration between multiple people, suitable for team project development, and can clarify requirements, generate design documents and decompose tasks.
• Deep project understanding : Able to deeply analyze large enterprise-level code bases, maintain efficient context understanding, and support use # Symbols quickly reference a specific file or folder.
• Multimodal Integration Platform (MCP) : Flexible integration of various data sources, tools and services such as Figma, Notion, databases and cloud services. Can “convert Figma design drafts directly into high-quality front-end code”.
• Task dismantling and custom rules : It can dismantle complex tasks into clear and traceable steps, allowing users to set personalized rules and customize AI behavioral preferences and code styles.
• Project Preview & Commissioning : It can automatically detect project startup scripts, start local services, and provide two modes: embedded IDE preview and independent browser preview. Supports element selection function for visual debugging.

How to use CodeFlicker

• Installation & Configuration : visit the official CodeFlicker website to download and install a version adapted to your operating system. Once installed, run the app and register or log in to the account. Complete the initial configuration as prompted by selecting the preferred programming language and connecting to the code warehouse.
• Project management : The option is to create a completely new project, or import an existing code warehouse.
• Select Collaboration Mode : Choose the right collaboration mode based on the type of development task you have. For example, for complex feature development, Duet mode is chosen for early alignment and reduced rework; for code refactoring, Agent mode is chosen for multi-file editing and autonomous execution.
• Experience AI capabilities : In the editor, use natural language to input programming puzzles or functional requirements you encounter, and CodeFlicker will provide professional answers and code examples. When writing code, CodeFlicker intelligently provides completion recommendations to help you complete code entry quickly.
• Programming with Agent : hand over large-scale development tasks to CodeFlicker’s Agent, and by interacting with them, gradually achieve their goals.
• Contextual references : CodeFlicker will automatically contain the currently opened file as a context. You can also use shortcut keys or right-click menus to manually add code snippets. Paste multiple lines of code into the input box and it will be automatically recognized as a file and line number, making it easier for AI to understand your intentions.
• Change management : CodeFlicker provides a clear view of differences, allowing changes to be reviewed line by line or file by file, accepting or rejecting individual changes. For simple modifications, either “Accept All” or “Reject All” batch operations are available, with support for one-click rollback to any pre-conversation checkpoint.
• Extend functionality with MCP : configure the Model Context Protocol (MCP) server in settings, integrate custom tools and services into CodeFlicker, expand the capabilities of the AI assistant, and enable personalized workflows.
• Export & Share : After the development is completed, the project can be exported to the local or cloud warehouse for easy sharing with others.

CodeFlicker application scenarios

• Rapid prototyping :Suitable for scenarios that require quick validation of ideas, AI can automatically generate the underlying code framework.
• Learning & Education : Beginners can understand code logic through AI question answering, and the education platform can integrate its functions to assist teaching.
• Complex problem solving : When developers encounter problems such as performance optimization and algorithm design, AI can provide multiple solution suggestions and analyze the pros and cons.
• Team collaboration : Support project group form management code audit, permission control function is suitable for team development scenario.