Codebot Migrate
Intelligent software migration tool. Automatically generates code at the project level, solving intelligent migration of chip-matched embedded software and cross-platform code.
Capitalxen
AI Empowering the Entire
Software Development Lifecycle
Focused on developing intelligent AI technology solutions, integrating production with research, incubating research through production, and empowering production through research!
Core Products: Codebot AI
AI agent tools built for programming scenarios, supporting code comprehension, generation, migration, testing, review, and documentation generation.
Codebot Wiki
Code-to-documentation agent. Helps users easily generate high-quality software design documents from source code, improving development standardization.
Codebot Testing
Automated unit testing agent. Generates test cases in batches, supports incremental generation for specified modules, and performs Diff-based automatic updates and regression testing.
Codebot Review
Code review and correction agent. Detects PR issues in real time and provides AI evaluation, identifying potential problems and issuing warnings.
Codebot Genius
Code generation agent. Integrates with your IDE, assisting programming, generation, and completion based on project-level code understanding and enterprise knowledge bases.
Codebot Eagle
Next-generation code comprehension and analysis agent. Uses AI to quickly understand entire software projects, answer deep code questions, and provide graphical visual explanations.
Typical Use Cases
Covering core areas such as digital transformation, semiconductor embedded R&D, and enterprise knowledge base construction.
01
Digital Transformation for Traditional Enterprises
Solves the low efficiency and high cost of traditional development models. Powered by intelligent code completion, batch generation, and open-source code interpretation, Codebot AI safeguards digital transformation across manufacturing, energy, finance, and other industries.
02
Semiconductor Embedded Software R&D
Targets the heavy hardware and software adaptation workload in the semiconductor industry. It performs code understanding, generation, and inspection based on hardware specifications, supports automated analysis of massive test logs, and plays an irreplaceable role in firmware, drivers, operators, and more.
03
Building Knowledge Bases from Existing Enterprise Code
Quickly builds an enterprise knowledge base from existing code, helping R&D teams take over existing projects, rapidly analyze code structure and logic, and reduce error rates. Ideal for project review and acceptance, outsourcing delivery, and investment/financing due diligence.
Key Capabilities & Advantages
Leap in R&D efficiency, preserved value of code assets, controllable open-source risk.
Large-Scale Code Understanding
- Supports full-project analysis at the scale of millions to tens of millions of lines
- Handles single-repository or multi-repository joint analysis
- Hierarchical visualization via a code graph database
Full Project Control
- Generates project architecture reports and key-module analysis
- Built-in compliance checks to identify license conflicts and vulnerabilities
- Reduces legal and technical risk
Cross-Language & Multi-Scenario
- Supports dozens of languages including Java, Python, C++, and Go
- Adapts to scenarios such as onboarding new projects, code auditing, and open-source governance
- Supports multilingual natural-language queries
10M+
Lines of code analyzed per project
6
Codebot AI intelligent agents
30+
Programming languages supported
Contact Us
We provide pre-sales purchasing consultation, solution recommendations, and more!