Kaizen
Autonomous Software Modernization and Quality Engineering for Legacy Systems.
Automated Technical Documentation and AI-Powered SDK Generation from Source Code
DocuCoder is a high-performance AI engine designed to eliminate documentation debt by synchronizing technical manuals, API references, and developer portals directly with source code repositories. By 2026, DocuCoder has positioned itself as the industry standard for 'Documentation-as-Code' (DaC), utilizing a proprietary RAG (Retrieval-Augmented Generation) architecture that parses Abstract Syntax Trees (AST) to understand deep logic flow rather than just comment blocks. It supports bi-directional synchronization, meaning changes in the documentation can suggest code refactors, and code commits automatically trigger documentation updates across multiple formats. The platform's 2026 iteration includes 'Living-SDK' generation, which creates and maintains client libraries in seven major languages simultaneously. Its enterprise-grade security layer ensures that code snippets processed by the LLM are never used for training public models, complying with stringent SOC2 Type II and GDPR standards. DocuCoder's ability to interpret legacy COBOL and Fortran alongside modern Rust and Go makes it an essential tool for modernization projects in FinTech and Aerospace sectors, where accurate documentation is a regulatory mandate.
Parses code structures to create visual logic flows within documentation.
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.
Turn natural language into production-ready SQL and optimize database performance with LLM-powered schema intelligence.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Automatically updates client libraries in Python, JS, Go, and Ruby when API endpoints change.
Blocks Pull Requests if documentation changes do not meet a 95% similarity score with code updates.
Converts legacy logic (COBOL/C) into human-readable technical specs for modern developers.
Generates real-time sandboxes within the docs using WebContainers.
Embeds the entire codebase into a vector database for natural language queries across the manual.
Enforces company-specific voice, tone, and formatting rules using custom fine-tuned LLM layers.
New developers take weeks to understand complex internal APIs.
Registry Updated:2/7/2026
Client libraries fall behind the main API versioning.
Management has no visibility into the complexity of legacy modules.