In this guide, we walk you through how to refactor legacy code safely and effectively, covering both the challenges and the strategic steps. You’ll learn to define clear goals, assess risk, build a safety net, and execute incremental improvements, all while maintaining system integrity and preparing for future growth.
Richard Katona
Head of Product Delivery
Legacy documentation often hides critical risks by being outdated, scattered, or incomplete. This article explores proven strategies to audit, standardize, and modernize documentation so teams can improve accuracy, onboarding, and system reliability.
Richard Katona
Head of Product Delivery
Legacy code doesn’t have to mean outdated documentation. This article explores leading AI-powered and developer-friendly tools that help teams generate and automate documentation for complex codebases built on older programming languages.
Richard Katona
Head of Product Delivery
Uncover how today’s top tools are reshaping legacy-system transformation by combining AI-driven analysis, visual mapping and hybrid deployment. From on-premise modernization to cloud replatforming, this article reviews seven leading platforms that help teams modernize with confidence.
Peter Gardus
VP Marketing
We’ve launched the Kodesage Chat API: a simple, OpenAI-compatible interface for building context-aware chat experiences. Bring intelligent conversation to your internal tools, developer portals, and workflows.
Peter Gardus
VP Marketing
Legacy system modernization is no longer optional. It’s how enterprises stay secure, compliant, and competitive. In this guide, you’ll discover seven proven strategies, a simple four-step decision framework, and phased roadmap you can use.
Gergely Dombi
CEO & Co-Founder
Vector indexes promise faster similarity search, but each comes with trade-offs in speed and recall. In this article, we compare HNSW, IVFFLAT, and IVF_RaBitQ to reveal their strengths, limitations, and the scenarios where each shines.
Marcell Dabis
Data Scientist
AI-powered documentation generators are no longer a future trend. They’re shaping how teams work today. These solutions streamline the creation and maintenance of accurate, consistent documentation, saving time while improving collaboration and efficiency.
Peter Gardus
VP Marketing
You're not alone in encountering burnout by code reviews. Developer burnout isn't a foreign language to engineering teams. Facing vague expectations, unrealistic deadlines, and endless rework. But here's the silver lining: AI code review tools to the rescue!
Peter Gardus
VP Marketing
Kodesage supports legacy stacks like Oracle Forms, COBOL, PowerBuilder, SAP, PL/SQL, and also modern stacks.
Single tenant application, offering both VPC and fully on-premise deployments meeting the strictest security requirements.
Connect to the entire codebase, issue ticketing systems like Jira, databases, tests, wikis like Confluence and upload documents.
AI generated software documentation that is always up to date with a pre-built and editable document template library.
Automate regression and unit test coverage, accelerate releases and ensure traceability for future audits.
Native integration to systems like Jira, and AI-generated fix recommendations for tickets.
With Kodesage teams maintain legacy projects more efficiently, and modernize faster.
See it in action today.
