Documenting and Modernizing Legacy Codebases with C3 Generative AI

This post details the application of C3 AI's Autonomous Coding Agents (ACAs) to the problem of documenting and modernizing legacy codebases. It outlines a workflow that combines generative AI, static analysis, and agentic automation. Key technical contributions include: 1) Parsing code into structured representations (AST, dependency mapping, data flow tracing). 2) Generating documentation drafts (architectural summaries, component descriptions, API docs). 3) Translating code into modern languages using a multi-agent framework, emphasizing continuous validation, early error detection, and structured oversight over single-agent approaches. The post highlights the use of agents for unit test generation and code translation, with a focus on trust and verification through user stories and test-driven development.