Code Modernization
Legacy code isn't a dead end.
What it is
Most enterprise software was written before AI-assisted development tools existed. That's not a failure — it's just a fact. Our code modernization practice takes those systems and makes them faster to change, cheaper to operate, and ready for AI integration.
We don't rewrite for the sake of rewriting. We triage, assess, and modernize the parts that need it most.
The problems we solve
- ◆Codebases where no one knows what the code does
- ◆Framework versions from 2014 that block new hires and block new features
- ◆Applications that need AI capabilities (search, summarization, classification) but were never designed for it
- ◆Technical debt that compounds every quarter
Who this is for
Engineering teams spending more time fighting the codebase than shipping features
Organizations where new developer onboarding takes months, not days
Companies that want to integrate AI capabilities into existing applications but can't without a rewrite
CTOs who know the system is fragile but can't justify a full rewrite to the business
Teams where framework versions are so outdated that security patches are no longer available
Our Process
Assessment
(1–2 weeks)Static analysis, dependency audit, interview developers, map the blast radius of changes.
Architecture
(1 week)Prioritized modernization plan. We tell you what to fix first and why.
Migration
(4–12 weeks)Systematic refactoring with Claude-assisted code analysis and generation. Tests written alongside changes, not after.
Testing
(1–2 weeks)Coverage expansion, regression testing, performance benchmarking.
Deployment
(1 week)Staged rollout with rollback capability.
What we deliver
Upgraded framework versions with documented migration decisions
Test coverage increase (typically 40–60% improvement)
Reduced time-to-deploy (typical: 3-day PRs → same-day)
AI capabilities integrated into existing workflows
Architecture documentation that onboards developers in days, not months
Frequently Asked Questions
What is AI-assisted code modernization?
Using AI to accelerate legacy codebase migration, framework upgrades, test generation, and documentation. AI handles the repetitive transformation work while engineers focus on architecture decisions. Reduces typical 6-month projects to 8-10 weeks.
Is code modernization disruptive to current operations?
No. We use parallel migration strategies with continuous integration, so your existing systems keep running throughout the process. The cutover happens only when the new system is fully tested and validated.
What frameworks and languages do you modernize?
We modernize across all major frameworks and languages — from legacy Java, COBOL, and .NET to modern TypeScript, Python, and Go. Common migrations include Angular to React/Next.js, monolith to microservices, and legacy REST to modern API architectures.
How do you ensure quality during migration?
AI-generated test suites validate behavior parity between old and new code. We measure code coverage, run regression tests continuously, and maintain rollback capability throughout the migration.