CodeRider
AI Coding and AI DevOps work together to build a complete R&D lifecycle, with flexible deployment architecture achieving ultimate efficiency and security at the enterprise level

Smart Role Workflow
Role-based agent programming with seamless switching between multiple development roles, one-stop Agent collaborative programming
Ultimate Personalized Experience
Support configuration of work modes, prompts, and third-party models to create a personalized AI programming experience for developers
Full Lifecycle Empowerment
From 'AI Coding code generation' to 'AI DevOps code management' throughout the entire software development lifecycle, AI accompanies every development stage
Enterprise-Grade Security
Support private deployment, hybrid deployment and other modes to safeguard enterprise core data assets
Boost R&D efficiency, ensure business security
Automatic Failure Recovery
CodeRider-Kilo automatically detects errors, runs test suites, and recovers when failures occur
Real Business Code
CodeRider-Kilo's MCP marketplace allows you to add tools like Context7 to automatically query library documentation, so it actually follows best practices instead of making things up
Context is King
CodeRider-Kilo automatically searches for appropriate context, any context you add is additional help
Enable Debugging
Let CodeRider-Kilo's "debug" mode carefully examine your codebase to find the source of bugs, escape the most boring debugging work in programming
Memory
No need to re-explain your application to AI, let AI automatically record what it has processed, your preferences and more
Parallel Agents
Run multiple AI agents simultaneously, solve multiple problems at once, parallel mode can significantly speed up progress on complex projects
Covering nearly a hundred programming languages

































