Leverage AI-powered coding
with confidence.
With agents for code generation, test workflows, and AI chat, Qodo Gen helps developers write quality code that works as intended, with fewer bugs.
Not all context
leads to quality AI code.
Context awareness, enabled by Retrieval
Augmented Generation (RAG) is a foundational
principle of AI coding.
But a RAG system that doesn’t filter for high-quality,
relevant context can lead to more issues.
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Intelligent AI coding built around
your organizations needs.
Context-awarness
with quality-guardrails.
Control which repos are indexed for context and use tagging to focus retrieval on only relevant files.
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AI that knows
your best practices.
Apply best practices across development,
review and test workflows
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Iterative test generation
- Analyze code behavior to generate test suites
with happy paths, edge cases and rare scenarios. - Deliver tests tailored to project style,
frameworks, and specific needs. - Refine tests with added context and customize
preferences to adhere to best practices. - Run and auto-fix tests directly within the IDE.
Intelligent, agentic code generation
Dynamic code completion and collaborative AI chat help create testable code that aligns with best practices and adheres to the specific needs of developers.
Smart Code Completion
Generate code that aligns with your team’s standards and make complex changes with step-by-step agentic guidance and clear explanations.
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AI Collaboration
Turn natural language descriptions into complete code implementations, spanning multiple files and handling all dependencies.
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Smart Code Completion
Take a review first-approach and compare git-diff, or automatically integrate code suggestions.
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Seamless access
to top tier LLMs
Easily switch between models depending on the task and maintain threaded conversations.
Agentic
context collection
A smart agent that understands your project and codebase, integrates version history, and matches existing code style.
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Qodo Enterprise Platform
AI that understands your company’s codebase.