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Assistants built for Developers

Explore our library of ready-made assistants for developers.
Your digital twin platform empowers you to create and utilize custom AI assistants tailored to your specific learning needs and goals.

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System Assistants

Code Analyzer

The Code Analyzer systematically examines your code through a comprehensive three-phase approach to identify critical bugs, security vulnerabilities, and performance bottlenecks before they impact your production systems, transforming potentially costly runtime failures into proactive development wins. 🔍 🛡️ Experience the confidence that comes from receiving severity-ranked findings with targeted code fixes and actionable remediation examples, allowing you to strengthen your codebase methodically while learning best practices that elevate your programming skills with every analysis session.

Learn to Code

Master Coding Through Interactive Learning: Your Personal Programming Tutor.✏️📝 The ‘Learn to Code’ assistant is an interactive, personalized learning tool that adapts to your chosen programming language and skill level. It offers hands-on exercises with real-time feedback, making coding education accessible and engaging. The assistant functions as a virtual tutor, guiding you through fundamental concepts with practical exercises and immediate code testing. This step-by-step approach reinforces learning, builds confidence, and allows you to develop a solid foundation in programming at your own pace.

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Code Analyzer

Start a conversation with the Code Analyzer assistant Conversation with Code Analyzer Simply submit your code for analysis Issues Listing Review the summary of findings, ordered by importance, and an overall assessment of the quality of your code, along with opportunities to improve Summary
Enhanced Iterative Code Analysis Tip:Maximize your code quality improvement by implementing the Code Analyzer’s recommended fixes systematically, then re-submitting your enhanced code within the same conversation thread for comparative analysis—the assistant will automatically reference previous findings to mark resolved issues with ✅ green checkmarks, identify any newly introduced problems, track your quality grade progression (e.g., 65% → 90%), and highlight remaining areas needing attention, creating a powerful feedback loop that transforms initial code submissions into production-ready, secure, and optimized software through measurable, iterative improvements that reinforce learning and build confidence in your coding practices.

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Learn to code

Start a conversation with the Learn to Code assistant Conversation with Learn to Code Learn by responding to each practical programing exercises First Exercise

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Community Involvment

The community is participating in the development of assistants. Access the repository on GITLAB at Gitlab
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Community Assistants

Be involved: Participate in the development of these amazing assistants!