Kaizen
Autonomous Software Modernization and Quality Engineering for Legacy Systems.
Agentic software engineering and legacy code modernization via multi-model reasoning.
CodeWizard AI is a sophisticated AI-native software engineering platform designed for the 2026 development landscape. Built on a proprietary multi-agent orchestration layer, it transcends simple autocomplete by utilizing 'Reasoning-before-Coding' loops. The platform leverages a RAG-enhanced (Retrieval-Augmented Generation) architecture that indexes entire local and remote repositories to provide deep architectural context. Its 2026 market positioning focuses on 'Legacy-to-Cloud' transitions, specifically targeting the conversion of monolithic COBOL, Java 8, and legacy C++ into microservices-based architectures. CodeWizard differentiates itself through 'Verifiable Output'—every code block generated is passed through a localized sandbox to verify compilation and pass basic linting before being presented to the developer. With support for over 40 programming languages and a focus on enterprise-grade security, it serves as a force multiplier for DevOps teams, enabling the automation of repetitive tasks like documentation, unit testing, and vulnerability patching while maintaining a sub-1.5 second latency for context-aware suggestions.
Uses a multi-step loop to reproduce bugs in a virtual container and propose fixes.
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.
Translates legacy logic (e.g., Fortran/COBOL) into modern TypeScript or Go while preserving logic.
Utilizes a vector database to fetch relevant snippets from the entire 10M+ line codebase.
Real-time checking against OWASP Top 10 and CVE databases during the generation phase.
Automatically analyzes Pull Requests for logic errors, style violations, and performance bottlenecks.
Generates real-time Mermaid diagrams and documentation based on code relationships.
Proprietary caching layer that reduces redundant API calls for recurring code patterns.
Converting a monolithic Java 8 Spring app to Java 21 microservices.
Registry Updated:2/7/2026
Speeding up the creation of CRUD APIs with boilerplate and validation.
Low test coverage in a high-velocity startup environment.