Kaizen
Autonomous Software Modernization and Quality Engineering for Legacy Systems.
AI-Powered Technical Skill Acceleration and Automated Code Assessment Engine.
CodeJedi is a high-performance AI platform engineered for technical skill acquisition and automated developer assessments. By 2026, CodeJedi has transitioned from a simple coding tutor to a sophisticated RAG-enhanced (Retrieval-Augmented Generation) environment that integrates directly with proprietary internal codebases and global competitive programming standards. Its architecture utilizes a mixture-of-experts (MoE) model to provide context-aware debugging and real-time architectural advice. The platform serves two primary cohorts: individual developers aiming for elite technical roles and enterprise engineering managers seeking objective, automated evaluations of candidate performance. Unlike generic LLMs, CodeJedi employs a specialized 'Code-Logic' layer that verifies the execution and complexity of generated snippets against a virtualized sandbox. This ensures that the AI's suggestions are not only syntactically correct but also optimized for memory and time complexity (Big O). Its 2026 market positioning places it as the bridge between theoretical CS education and production-ready engineering standards, offering a gamified yet rigorous path to mastery through its 'Path-to-Architect' curriculum.
Uses a proprietary symbolic execution engine to identify edge cases where code might fail even if syntactically perfect.
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.
A browser-based microservices emulator that allows users to deploy and test multi-container architectures.
LLM-driven roadmap generation that updates in real-time based on the user's error patterns.
High-fidelity STT/TTS engine optimized for technical jargon and code syntax.
RAG implementation that indexes entire repositories to understand local patterns and helpers.
Breaks down why a specific fix was suggested using visual AST (Abstract Syntax Tree) transformations.
Analyzes keystroke dynamics and logical derivation patterns to ensure assessment integrity.
A team of Java developers needs to transition to Rust for a performance-critical project.
Registry Updated:2/7/2026
Recruiters are overwhelmed by generic AI-generated resumes and cheat-heavy take-home tests.
Mid-level engineers struggling to break into Senior/Staff roles due to system design gaps.