Kaizen
Autonomous Software Modernization and Quality Engineering for Legacy Systems.
Automated architectural oversight and legacy code modernization through LLM-driven static analysis.
CodeConsultant is a 2026-gen developer productivity platform designed to bridge the gap between simple code completion and high-level architectural advisory. Unlike standard autocomplete engines, CodeConsultant operates on a whole-repository context, utilizing a proprietary 'Context-Graph' architecture to understand dependencies, data flow, and design patterns. Its 2026 market positioning focuses on 'Legacy-to-Modern' migration, providing automated paths for transitioning monolithic systems to microservices or serverless architectures. The platform integrates directly into the CI/CD pipeline, acting as a virtual lead architect that enforces best practices, detects complex security vulnerabilities (OWASP Top 10), and suggests refactoring opportunities to reduce technical debt. By leveraging long-context window models, CodeConsultant can ingest over 100k lines of code simultaneously to provide suggestions that respect cross-module constraints, making it a critical asset for enterprise-scale software maintenance and compliance-heavy industries where code quality is non-negotiable.
Generates a 3D interactive map of codebase dependencies using RAG-enhanced static analysis.
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 multi-step refactoring plans for upgrading frameworks (e.g., Python 2 to 3, or React Class to Hooks).
Continuous scanning for hardcoded secrets and insecure patterns using semantic search.
Algorithmic calculation of maintenance costs based on cyclomatic complexity and code churn.
AI-generated PR comments that explain 'why' a change is needed based on the whole-project context.
Ensures code implementations strictly adhere to OpenAPI/Swagger specifications.
Allows users to switch between GPT-4o, Claude 3.5 Sonnet, or Llama 3 for analysis tasks.
A banking app with 1M lines of Java code needs to be split into microservices.
Registry Updated:2/7/2026
Generate automated PRs for interface decoupling.
New hires take weeks to understand complex internal libraries.
SecOps team cannot keep up with the volume of code changes.