Kaizen
Autonomous Software Modernization and Quality Engineering for Legacy Systems.
Automate technical documentation and architecture visualization directly from your codebase.
CodeDriven is a specialized AI-orchestration platform designed to solve the chronic problem of 'documentation drift' in agile software development. By leveraging Advanced Syntax Tree (AST) analysis combined with Large Language Models (LLMs), CodeDriven treats the codebase as the single source of truth to automatically generate and maintain READMEs, API specifications, and architectural diagrams. In the 2026 market landscape, CodeDriven has evolved into a Knowledge Graph engine that doesn't just describe code but maps the logical dependencies across polyglot microservices. It integrates natively with Git workflows to trigger documentation updates during Pull Requests, ensuring that any logic change is reflected in the technical wiki immediately. Its architecture supports RAG (Retrieval-Augmented Generation) patterns, allowing engineering teams to query their own repositories in natural language to understand legacy systems or plan refactoring paths. The platform bridges the gap between high-level architectural intent and low-level implementation details, significantly reducing developer onboarding time and technical debt visibility.
Uses Abstract Syntax Tree parsing to understand code logic before feeding snippets to the LLM, reducing hallucinations.
Autonomous Software Modernization and Quality Engineering for Legacy Systems.
Bridge the gap between natural language and complex database architecture with AI-driven query synthesis.
Add AI-powered chat and semantic search to your documentation in minutes.
Automated Technical Documentation and AI-Powered SDK Generation from Source Code
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Automatically translates code execution paths into visual sequence diagrams that update in real-time.
Monitors changes in logic and alerts when the existing documentation no longer matches the implementation.
Indexes dependencies across different languages (e.g., a Python backend calling a Go microservice).
Vectorizes the codebase to allow developers to ask 'Where is the auth logic handled?' and receive cited answers.
Analyzes code against SOC2 and GDPR requirements to auto-generate compliance reports.
Allows editing of documentation in a web UI and pushes the changes back to the repository as Markdown.
New hires spending weeks manually exploring codebases to understand architecture.
Registry Updated:2/7/2026
Risk of breaking undocumented dependencies during major version upgrades.
Outdated Swagger/OpenAPI docs leading to integration errors for partners.