Kaizen
Autonomous Software Modernization and Quality Engineering for Legacy Systems.
Enterprise-grade AI code intelligence for legacy modernization and secure software development.
CodeSage represents the 2026 frontier of AI-driven software engineering, originating from Salesforce Research's high-scale code-to-code representation models. Unlike general-purpose LLMs, CodeSage utilizes a specialized encoder-decoder architecture optimized for structural code understanding and cross-file dependency mapping. By 2026, it has evolved into a comprehensive suite for Enterprise Legacy Modernization, allowing organizations to ingest massive monolithic repositories and automatically refactor them into microservices. The platform integrates deeply with the Agentforce ecosystem, enabling autonomous AI agents to perform complex debugging and security patching without human intervention. Its core technical edge lies in its 'Context-Aware RAG' system, which doesn't just look at text but understands the Abstract Syntax Tree (AST) of the entire codebase. This results in significantly higher accuracy for language translation (e.g., COBOL to Java) and vulnerability detection. It is positioned as the primary competitor to GitHub Copilot Enterprise, specifically targeting highly regulated industries that require on-premise deployment options and strict data residency compliance.
Uses Abstract Syntax Tree parsing to understand code logic rather than just text patterns.
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.
Maintains a vector index of the entire project to resolve dependencies across multiple directories.
Identifies OWASP Top 10 vulnerabilities and generates verified pull requests to fix them.
Translates code between legacy (COBOL, Fortran) and modern (Go, Rust, Java) languages while preserving logic.
AI agents that can run code, inspect stack traces, and iterate on fixes autonomously.
Supports deployment on private clouds (VPC) with no data exfiltration to the provider.
Quantifies repository health and provides a roadmap for refactoring high-risk areas.
A bank needs to move from a 30-year-old COBOL mainframe to a Java microservices architecture.
Registry Updated:2/7/2026
A new security flaw is discovered that affects thousands of microservices.
A new hire takes weeks to understand a complex, poorly documented codebase.