The Platform
A GenAI platform for simplifying software maintenance and modernization meeting industry quality standards.
AI-POWERED modernization
Deconstructing Code to Modernize with Confidence
Our GenAI-powered engine can save over 80% effort by understanding your existing code and driving modernization.
Reverse engineer application code into detailed specs and diagrams.
Up-to-date wiki for maintenance and modernization requirements.
Generate modern application with confidence of complete coverage.
Trusted by leaders that Prioritize efficiency
Transforming App Maintenance and Modernization with GenAI
AI Agents generating high-fidelity wiki from code
Connect your existing code repository and let our AI Agents reverse engineer it to detailed specifications, diagrams as well as domain specific logic. These detailed requirements are documented into a wiki with visualizations in terms of current architecture, sequence diagrams and entity relationships.
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Modernization projects can Complete and Succeed
Traditional app modernization often falls short because teams are forced to navigate poorly documented legacy code — an outdated maze that slows progress and drives up costs. It’s time to change the narrative.
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The execution can neither compromise on business and technical requirements nor lose sight of modern architecture and security.
Protected from Legal Risks and IP liability
AdaptsAI ensures IP protection by generating custom, original code with no direct replication of copyrighted material. Our LLM engine delivers unique, optimized solutions while maintaining high quality. Users can trust their codebases are free from IP risks, enabling secure, responsible AI innovation.
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AI generated apps need maintenance too!
Business applications demand ongoing maintenance to address new vulnerabilities, ensure reliability, and deliver updates or bug fixes.
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With AdaptsAI's advanced context awareness, maintenance becomes effortless—minimizing code ramp-up time, streamlining troubleshooting, and simplifying enhancements for maximum efficiency.
Fast-track Your
Modernization Plans
Reverse engineer existing code to wiki, leading to high-confidence modernization at blazing fast turnaround times.
Frequently Asked Questions
AdaptsAI uses its patented engine to parse your code into modules and leverages fine-tuned language models to generate detailed functional and technical specifications. Think of it as building a comprehensive knowledge graph of your codebase. We then use generative AI to produce artifacts—such as high-level requirements, architecture diagrams, sequence diagrams, and data models—that provide a complete picture of your system.
While AI chat assistants like ChatGPT work well for small sets of files, they often struggle with larger repositories. They typically cannot maintain complete context across an entire codebase, which limits their precision and coverage. In contrast, AdaptsAI’s patented engine is specifically designed to parse and understand your entire codebase, ensuring high quality and accurate documentation even at scale.
We understand that safeguarding your code is critical. That’s why we implement robust security protocols to protect your work. Your code is used solely to create detailed functional and technical specifications (along with other related documents) and is processed only temporarily. Once the results are generated, your files are automatically deleted, ensuring they are neither stored nor reused. Additionally, your code is never used to train or improve our AI models.
Our Code to Wiki solution produces a comprehensive guide to your codebase, complete with intuitive navigation and search capabilities. Moreover, we provide an AI chat assistant that has full context of the generated wiki. This assistant not only serves as an onboarding guide but also allows you to interact in natural language—making it easier to find the information you need. We believe that as AI assistants become more prevalent, traditional methods of consuming documentation will evolve toward more conversational, natural language interactions, whether through text or audio.
Our system continuously updates the AI assistant to reflect the latest changes in your codebase, ensuring you always have access to current information. Additionally, the overall wiki is refreshed on a periodic basis—frequency determined by your pricing plan—to capture all modifications accurately.
Yes. Our Code to Wiki solution is designed for scale—it can handle large codebases, including repositories with over 250MB of code spanning more than 3,000 files. However, for optimal clarity, we recommend generating documentation on a per-service or per-microservice basis rather than processing an entire monolithic repository at once. This approach ensures that the resulting artifacts remain clear and concise for each component.