Code Analysis
AI software docs from interviews, SQL and screens
10 followers
AI software docs from interviews, SQL and screens
10 followers
Turn interviews, SQL and screenshots into connected software documentation. Draft editable PlantUML diagrams, data dictionaries and user manuals with AI, then refine them in project-aware chat. Choose eligible models and review credit estimates before use.
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Hi Product Hunt! I’m Alexandre, the maker of Code Analysis.
I built it while analyzing a system implementation. Interviews helped me understand the work, but I needed a way to turn that knowledge into use cases. From there, the product grew into SQL documentation, screen-based documents, and user manuals.
Code Analysis keeps the sources and the work together:
• Organize interviews, SQL, and screenshots in a project.
• Draft diagrams, data dictionaries, and manuals with AI.
• Choose an eligible model and review the credit estimate.
• Refine documents in contextual chat and revisit version history.
The library includes 26 configurable diagram types and notations. PlantUML source is editable and exportable.
Plans are individual; AI and metered file transfers share one CodeCredits balance.
If you analyze, implement, or document software, which part of turning scattered knowledge into useful documentation is hardest for you? I’d love your feedback.