aiXcoder
Product information, use cases, and access for aiXcoder.
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What is aiXcoder?
aiXcoder is an enterprise software development suite built around code language models and task-focused agents. It spans requirement understanding, task decomposition, code generation, testing, and delivery, making it relevant to development teams that want AI assistance across the engineering lifecycle.
Developers can work with its coding agent inside VS Code or JetBrains IDEs, or use the CLI for natural-language requests and changes across files and repositories. Enterprise Hub brings models, agents, knowledge bases, and related resources into a shared control layer, with deployment options for enterprise environments.
Key features of aiXcoder
Agent collaboration across the lifecycle
Requirement Agent supports requirement discovery, organization, generation, and management, while TestAgent covers unit, integration, and system testing. Together, they address teams that want AI assistance from shaping requirements through validation.
Team coding inside the IDE
CodeAgent Plugin works in VS Code and JetBrains IDEs with Agent, Plan, and Ask modes. It can work with project-level code context, make changes across files, and call terminal or MCP tools, while leaving each generated change available for review and acceptance or rejection.
Repository changes from the CLI
CodeAgent CLI handles coding tasks through natural-language command-line conversations. It supports batch changes across files and repositories and can be called from shell commands, Makefiles, or CI workflows, making it suitable for teams that work primarily through terminals and automation.
Code analysis, documentation, and formula-to-code
CodeWiki analyzes project architecture and code logic to generate project-level documentation that can follow code changes. Math2Code combines rule-based processing with a large model to read complex formulas from LaTeX, design documents, or papers, then produce engineering code with bidirectional links between formulas and code.