Kaizen
Autonomous Software Modernization and Quality Engineering for Legacy Systems.
CodeAnalyst is a next-generation AI-native static analysis and architectural intelligence platform designed for the 2026 software development lifecycle. Unlike traditional linters that focus on syntax, CodeAnalyst utilizes Large Language Models (LLMs) combined with Abstract Syntax Tree (AST) parsing to understand the semantic intent and architectural patterns of massive codebases. It identifies not just bugs, but structural risks, architectural drift, and security vulnerabilities that span multiple files and services. By 2026, it has positioned itself as the 'Logic Layer' of the CI/CD pipeline, providing developers with actionable remediation code rather than just alerts. The platform features deep integration with Git providers and IDEs, offering real-time feedback during the authoring phase. Its core engine uses a hybrid RAG (Retrieval-Augmented Generation) approach to index internal documentation alongside the codebase, ensuring that recommendations align with company-specific coding standards and design patterns. This makes it an essential tool for organizations managing complex microservices architectures and those looking to drastically reduce technical debt through automated refactoring.
Uses vector embeddings to map relationships between services and modules, identifying circular dependencies and violations of domain-driven design.
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.
Generates production-ready pull requests that fix detected vulnerabilities or tech debt using context-aware code generation.
A proprietary scoring algorithm that calculates the man-hours required to fix architectural flaws based on code complexity.
Analyzes dependencies across multiple repositories to ensure breaking changes in one service are flagged in dependent services.
Automated checks for SOC2, HIPAA, and GDPR compliance within the codebase logic.
Identifies unreachable code blocks and unused dependencies that static linters often miss due to dynamic execution paths.
Allows developers to query their codebase in plain English (e.g., 'Find all places where we handle PII without encryption').
A new zero-day vulnerability is discovered that affects a specific coding pattern across 50+ microservices.
Registry Updated:2/7/2026
Breaking a legacy Java monolith into microservices without losing business logic.
New hires struggle to understand complex architectural patterns in a large codebase.