Problem Statement
Problem Statement: Developer onboarding and architectural knowledge transfer (KT) are massive bottlenecks in software engineering.
Core trick
Parses the codebase's abstract syntax tree into architecture facts, then generates podcast scripts and diagrams, falling back to local Gemma when cloud calls fail.
Description
Problem Statement:
Developer onboarding and architectural knowledge transfer (KT) are massive bottlenecks in software engineering. Reading through thousands of lines of undocumented code or static diagrams is slow, tedious, and highly inefficient for new team members.
Solution:
Omni-Arch solves this by deploying a fully autonomous, multi-agent system that acts as a virtual senior engineer. It utilizes custom parsing techniques built on top of the Abstract Syntax Tree (AST) to natively comprehend the raw codebase. It then translates this deep architectural understanding into high-bandwidth, multimodal formats—including conversational podcasts, dynamic videos, and interactive diagrams. Multiple specialized agents (Analyzers, Scriptwriters, Reviewers) orchestrate this complex workflow, maintaining strict execution reliability by seamlessly falling back to local Gemma processing if cloud APIs fail.
So the two folders that actually contain the fully completed, end-to-end correct output (with video, audio, and HTML) are for evaluation are :
omni_arch_output
ollama_local_gemma_4b
they are in github (inside root these folders are there)
The linked repo returns 404, so it was deleted or made private.