kamran Khan@Kamran_Khan

Project Overview: AI Documentation Generator leverages a powerful multi-agent AI framework to transform complex codebases into structured, professional documentation in under two minutes via a simple project ZIP upload. The Problem: Manual documentation is a major bottleneck in software engineering: Time-Consuming: Writing docs manually steals days from core development. Outdated Content: Keeping documentation synced with rapid code changes is nearly impossible. Inconsistent Quality: Fragmented writing leads to confusing internal wikis. Slower Onboarding: New engineers struggle to understand project logic, delaying productivity. Our Solution: Our system parses the codebase and deploys five specialized AI agents simultaneously to generate accurate markdown assets: README Agent: Creates professional landing pages with setup and usage guides. Architecture Agent: Maps system design patterns and global data flows. API Agent: Automatically detects endpoints, parameters, and payloads. Flow Agent: Visualizes complex business logic and application pipelines. Suggestion Agent: Highlights security issues and performance bottlenecks. Interactive Codebase Explorer: Beyond static docs, the platform features an Interactive Codebase Explorer. Users can browse their project tree via a sleek sidebar with syntax highlighting. With our In-Context File Chat, developers can select any file and ask the AI specific questions like "Explain this function" or "How does data flow here?". This enables an interactive conversation with the code, making engineering onboarding and audits faster than ever. Impact: By turning a manual chore into a one-click automation, we empower teams to focus on shipping high-impact features instead of writing markdown files.

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