Many companies face the challenge of migrating decades-old Delphi codebases to the latest versions of the development environment. The reasons are well-known: outdated components, lack of Unicode support, incompatible third-party libraries, insufficient development resources, or simply the pressure to keep up with technological advancements. But how can the transformation be achieved efficiently, reliably, and with maximum automation?

Our answer: through the targeted use of artificial intelligence combined with our proprietary transformation pipeline for legacy Delphi code.

The conventional approach when switching to a modern Delphi version is often manually shaped: Project for the project is open, errors are compiled, outdated constructs manually replaced. This not only costs time, but also leads to a high susceptibility to errors.

Our method, on the other hand, is based on a multi-stage, AI-powered process:

1.  Project Analysis & Compatibility Check
   First, the existing legacy code is fully analyzed. We identify used components, language constructs, third-party libraries, and specific dependencies.
2. Type and Language Construct Transformation
   In the initial automation step, core language patterns and type definitions are converted to current Delphi standards. This includes replacing outdated string types, migrating to Unicode, and performing structural transformations of classes and records.
3. Availability Analysis for Components & Libraries
   The AI systematically checks which components are still available in new Delphi versions and flags those that no longer exist. Alternatives are automatically suggested, or suitable wrappers are generated.
4. Automated Code Reconstruction for Incompatibility
   If certain functionalities can no longer be mapped using existing components, the AI simulates the original logic and reconstructs an equivalent implementation using current technologies.
5. Fully Automated Error Detection & Compilation Process
   The converted code is then compiled. All remaining compiler errors are analyzed, categorized, and systematically addressed with AI support.
6. Final Manual Validation
   What remains is a significantly reduced set of "hard" migration issues, which can be efficiently validated and resolved by experienced developers.

Unlike purely generic LLMs, our migration AI is built on a specially trained domain specifically designed for Delphi code. It understands the historical peculiarities of older Delphi versions as well as the requirements of modern RAD Studio releases.

Our training data consists of a wide range of real migration projects, typical error patterns, component structures, and proven workarounds. As a result, the AI can accurately capture and intelligently implement not only syntactic changes but also semantic contexts.

• Significantly Reduced Project Timelines through Automation
• High Quality of Results, as standardized transformations are executed error-resistantly
• Scalability: Multiple projects or modules can be migrated in parallel
• Minimal Developer Involvement, allowing focus on truly challenging migration issues
• Reduced Risk, as outdated components are systematically identified and addressed

Legacy Delphi code is not an obstacle but a valuable asset—if you have the right tool. Through our AI-driven migration strategy, we transform existing codebases into future-proof systems with significantly reduced effort.

Instead of hundreds of manual, tedious tasks, we focus on an automated, transparent process. The combination of structural analysis, semantic AI interpretation, and expert developer competence makes our approach one of the most efficient in the German-speaking Delphi market.

Contact us—we'll be happy to show you how your Delphi application can be ready for the future in just a few steps.

Contact us today