Fast-track legacy application modernization with AI.
FullStack brings legacy software up to speed without the headache. By pairing industry-leading engineers with our cutting-edge AI-assisted frameworks, we modernize legacy apps quickly, safely, and at a fraction of the cost.















Why choose AI-powered legacy software modernization?


3x faster system modernization timelines
AI-assisted workflows allow us to deliver our legacy modernizations three times faster. We automate dependency mapping, test database creation, and schema validation, delivering results weeks or months ahead of traditional system modernization timelines.


Lower risks and reduced downtime
AI identifies fragile code paths and hidden dependencies, enabling phased legacy system upgrades that reduce downtime and prevent costly rollbacks.


50% lower legacy modernization costs
AI-augmented modernization workflows reduce manual effort and rework, slashing typical legacy software modernization timelines and costs.


Enhanced system scalability and stability
Refactored systems adopt modern architectures and security controls, making them cloud-ready and compliant. Our AI-augmented legacy software modernization approach makes this process quick and seamless.


Improved system longevity
AI-driven code refactoring improves maintainability, extending the productive life of mission-critical applications.
What is AI-powered legacy system modernization?
FullStack's team of experienced engineers leverages the latest AI-assisted coding practices to work quickly and provide value fast.


AI-augmented code refactoring
Translate outdated languages like COBOL, PL/SQL, or .NET into modern, cloud-ready frameworks as part of a full AI-powered legacy system modernization initiative.


Automated dependency mapping
Map and document relationships across legacy codebases to support incremental legacy modernization strategies and reduce integration risks.

Synthetic testing data
Generate secure, representative test databases to accelerate QA cycles, improve AI-assisted modernization workflows, and validate modernized components before production release.


Automated regression testing
Create and run regression tests automatically to maintain quality, ensure compliance, and catch issues early in modernizing legacy systems with AI.
Our approach to AI-assisted digital transformation


Engineer-led, AI-assisted legacy modernization
Senior engineers run the engagement from start to finish, using AI to automate repetitive tasks like bulk refactoring and environment setup.


Security-first approach to legacy data migration
Automated scanning practices and human review work together to protect sensitive data during migration.


Incremental legacy transformation strategy
We prioritize phased changes over risky all-at-once rewrites to keep your legacy systems running during updates.


Transparent delivery process
Regular updates, shared documentation, and open communication keep stakeholders aligned throughout the AI-assisted legacy software modernization process.
AI-powered legacy application modernization FAQs
Can AI-assisted legacy modernization occur without significant downtime?
Yes. Incremental software modernization strategies allow phased rollouts with minimal disruption.
How reliable is AI-driven code refactoring?
AI code translation reduces human error, speeds delivery, and is validated by our engineers for quality.
What happens after the completion of a legacy software modernization?
We offer ongoing AI-assisted support, including optimization and monitoring for all software modernization projects.
Is data migration included?
Yes. We perform data migration with secure, AI-assisted tools to ensure accuracy and integrity.

Get your legacy software up to speed.
Your AI-assisted legacy software modernization journey starts with a no-risk, no-obligation consultation. If you're ready totake advantage of smarter, faster enterprise software, let's talk.