The Platform
A GenAI platform for simplifying software maintenance and modernization meeting industry quality standards.
Your Code Explained in Wiki
Code reverse engineered into detailed specifications and diagrams
Technical Specification
Features, Requirements
Business/Domain Logic
Rules, Algorithm, Limits
Data Constructs
Data Flow, Data Model
Architecture Elements
Design, Sequence Diagrams
Developer Wiki with Onboarding Buddy 
Ramping up a codebase has never been easier
Accelerate onboarding with up-to-date wiki detailing business requirements, app logic, and dependencies—like a seasoned engineer’s insights. Our AI-Powered Onboarding Buddy helps new developers ramp up every step of the way like a true companion.
Rebuild and Democratize the Tribal Knowledge,
Break the shackles from relying on individual’s tribal knowledge and democratize code knowledge across the team, reducing risks to Keeping the Lights On. SME attritions are hard on the team but the impact can be lowered with the up-to-date architecture, sequence and data flow diagrams.
Keep pace with high speed AI code generations
The world is experiencing unprecedented volume of new code generation with the advent of GenAI revolution. AdaptsAI’s Code to Wiki solution, aides in building subject matter expertise for these unfamiliar codebases and empowers your team to keep pace with innovation.
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.