Kodesage

What Kodesage does

Kodesage is an enterprise-ready solution that helps engineering teams quickly understand complex software projects and modernize legacy systems. It unlocks legacy knowledge and accelerates modernization by harnessing multiple knowledge sources beyond codebases, including documentation, databases, and tickets. Kodesage connects these sources to ensure LLMs provide up-to-date knowledge, cutting new developer ramp-up times, supercharging issue ticket resolution, and automating documentation. It generates documentation automatically, captures code changes to update documentation, and ensures projects are audit-ready. Kodesage allows users to ask natural language questions for instant answers on system functionality or code details, maps complex systems with visual diagrams, and empowers business analysts and PMs to interpret software capabilities. The company's mission is to empower software teams to quickly understand, navigate, and modernize legacy tech stacks.

Products

• Kodesage MCPBrings Kodesage's knowledge directly into tools teams already use, such as developer IDEs (e.g., VS Code), Slack, Teams, and custom enterprise applications. It also powers agentic workflows, making system knowledge available where needed.
• Ask KodesageA chat feature allowing developers to ask natural language questions about technical aspects, simulating interaction with an experienced tech lead.

Key capabilities

• AI-powered legacy modernization
• Unlock legacy knowledge
• Integrates with multiple knowledge sources (codebases, documentation, databases, tickets)
• Dynamic knowledge base with state-of-the-art techniques
• Knowledge graph mapping relationships between code, business domains, APIs, databases
• Auto-sync for documentation updates
• Customizable enterprise-specific prompts
• Retrieval Augmented Generation (RAG)
• Searchable vector database
• Semantic code search
• Automated document generation
• Issue ticketing integration (e.g., Jira)
• Natural language interface
• Visual diagrams for system mapping and dependencies
• On-premise and cloud deployment options
• Supports multi-stack environments (Java, C++, Angular, .NET, PHP, PowerBuilder)
• Automatic unit and integration test generation
• Code analysis for issues, security vulnerabilities, and style inconsistencies
• Fast answers for infrastructure, configurations, and incident handling
• API descriptions, functional documentation, and operation guides generation
• Editable writing style guide
• Architecture diagrams
• Pre-built docs studio with editable template library
• Logical and Physical system design documentation
• Detailed user guides
• Regression test catalogs
• API documentation
• Migration guides generation
• Retroactive regression tests
• File level tagging & chat explanations

Use cases

• Legacy modernization
• Understanding complex software projects
• Cutting new developer ramp-up times
• Supercharging issue ticket resolution
• Automating documentation
• Ensuring software projects are fully documented and audit-ready
• Accelerating onboarding of new colleagues and teams
• Reducing interruptions for senior engineers
• Boosting team efficiency
• Getting instant answers on system functionality or code details
• Mapping complex systems and dependencies
• Empowering business analysts and PMs to interpret software capabilities
• Democratizing engineering knowledge across the organization
• Empowering business users to pick up domain knowledge faster
• 360-degree analysis on downstream impact of new features and requests
• Creating comprehensive business requirements
• More accurate project delivery time estimates
• Streamlining documentation and accelerating development
• Generating unit tests from source code
• Secure AI-based development for public sector
• Analyzing past JIRA tickets
• Understanding code snippets
• Providing implementation suggestions with project context
• Identifying potential issues, security vulnerabilities, and style inconsistencies in code
• Responding quickly to emerging problems in support
• Sharing knowledge more efficiently within support teams
• Assisting HR, business analysts, and helpdesk teams with ticket handling and process descriptions
• Accelerating code review cycles
• Increasing test coverage
• Troubleshooting

AI approach

Kodesage uses AI, specifically LLMs and Retrieval Augmented Generation (RAG), to process and understand complex software projects, generate documentation, provide natural language answers, and assist with development tasks. It builds a dynamic knowledge base using a knowledge graph and vector database, integrating various data sources beyond just codebases.

Tech named: LLMs, Retrieval Augmented Generation (RAG), knowledge graph, vector database

Industries served

• Software Development
• Finance
• Govtech
• Banking
• Asset Management

What it says sets it apart

• Harnesses multiple knowledge sources beyond codebases (documentation, databases, tickets)
• Keeps knowledge always up-to-date
• On-premise hosting option for secure and compliant AI adoption
• Language agnostic performance, working with modern and legacy stacks (e.g., PowerBuilder)
• No token-based pricing for self-serve answers
• Supports developer workflows beyond coding (documentation, ticket creation, analysis, task decomposition, estimation, onboarding)
• Comprehensive, context-aware knowledge base that continuously updates
• High throughput and low latency
• Can be deployed both on-premises and to cloud environments

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.