SiliconAgent
Legacy System Modernization

SiliconAgent Transform

Upgrade, migrate, and modernize legacy systems with AI precision while preserving your valuable business logic.

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Faster Migration
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Cost Reduction
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Downtime Required

AI-Powered Transformation

Modernize with precision using our comprehensive suite of intelligent tools.

01

AI-Powered Code Analysis

Deep semantic understanding identifies modernization opportunities, deprecated APIs, and security vulnerabilities.

Pattern detectionDependency mappingRisk assessment
// AI analyzes your codebase
analyzer.scan({
  detectPatterns: true,
  mapDependencies: true,
  assessRisk: true
});
02

Automated Transformation

Intelligent refactoring preserves business logic while upgrading technical implementation.

Syntax-awareLogic preservedModern patterns
// Before: Java 8
for (User u : users) {
  if (u.isActive()) list.add(u);
}

// After: Java 17
users.stream()
  .filter(User::isActive)
  .toList();
03

Automated Testing

Rigorous validation ensures functional equivalence and prevents regressions.

Test generationEquivalence checkCoverage reports
// Auto-generated tests
@Test
void verifyEquivalence() {
  assertEquals(
    legacy.process(input),
    modern.process(input)
  );
}
04

Performance Optimization

Beyond modernization - identify bottlenecks and implement improvements.

Bottleneck detectionMemory optimizationQuery tuning
// Performance gains
Before: 450ms response
After:  120ms response

Memory: 62% reduction
Deploy: 89% faster

The Results

What you can expect from AI-powered modernization

Up to 60%
Cost Savings
Lower modernization expenses
Minimized
Risk
Automated testing and validation
Preserved
Logic
Keep business logic while upgrading
Zero
Downtime
Continuous operation during updates

The Transform Process

A proven methodology for successful legacy system modernization.

1

Analysis

AI-powered code analysis identifies opportunities

2

Planning

Detailed transformation plan with risk assessment

3

Transform

Automated code transformation with oversight

4

Testing

Comprehensive testing ensures equivalence

5

Deploy

Zero-downtime deployment with rollback

Transformation Services

Comprehensive modernization services tailored to your specific needs

Java UpgradesPopular

Seamlessly upgrade your Java applications to the latest versions with automated code analysis, transformation, and testing.

Java 8 → 17Java 11 → 21
  • Automated deprecated API detection
  • Modern language feature refactoring

Framework Migration

Migrate from legacy backend frameworks to modern alternatives with automated dependency mapping and configuration conversion.

Struts → Spring Boot 4EJB → Spring Boot
  • Automated dependency mapping
  • Configuration conversion

UI Modernization

AI-assisted redesign of legacy UIs into modern SPAs. We analyze your JSP/JSF templates to extract business logic, generate component specifications, and accelerate the rebuild process.

JSP/JSF → React 19Swing → Web
  • Business logic extraction & separation
  • Component specification generation

API Transformation

Convert legacy APIs to modern RESTful or GraphQL services with proper documentation and versioning.

SOAP → RESTREST → GraphQL
  • API design & documentation
  • Security implementation

Stack Transformation

Complete technology stack transformation from legacy infrastructure to modern cloud-native solutions.

On-Prem → CloudMonolith → Microservices
  • Cloud migration strategy
  • Container orchestration

AI Integration

Integrate AI capabilities into your existing systems to enhance automation and decision-making.

Manual → AIRules → ML
  • AI/ML model integration
  • Natural language processing

Event-Driven Architecture

Transform synchronous, tightly-coupled systems into reactive, event-driven architectures for better scalability and resilience.

Sync → AsyncPolling → Events
  • Message broker integration (Kafka, RabbitMQ)
  • Event sourcing & CQRS patterns

Database Migration

Migrate databases with zero data loss using AI-assisted schema transformation, data validation, and rollback strategies.

Oracle → PostgreSQLSQL Server → Cloud
  • Schema analysis & transformation
  • Data type mapping & validation

Secrets Management

Eliminate hardcoded credentials and implement enterprise-grade secrets management with automated rotation and audit trails.

Hardcoded → VaultConfig → Secrets
  • HashiCorp Vault integration
  • Credential scanning & remediation

Technology Stack

Comprehensive support for modern and legacy technologies

Source & Target

Languages

01

Transform code across multiple programming languages.

Java
8 → 25 (LTS)
JavaScript
ES5 → ES2025
TypeScript
4.x → 5.9
Python
2.x → 3.14
C#
.NET 4.x → 10
Go
1.18 → 1.23
Kotlin
1.x → 2.1
Swift
5.x → 6.0

Migration Paths

Frameworks

02

Migrate between frameworks preserving business logic.

Struts → Spring
1.x → Boot 4.x
JSP → React
AI-assisted → React 19
Angular.js → Angular
1.x → v21
jQuery → Vue.js
Legacy → Vue 3.5
Express → NestJS
Node → NestJS 11
EJB → Spring
J2EE → Spring Boot 4
Hibernate
ORM → 6.6
REST → GraphQL
API evolution

Infrastructure

Cloud & DevOps

03

Modernize with cloud-native architectures.

AWS
Full ecosystem
Azure
Enterprise cloud
GCP
Google Cloud
Docker
27.x
Kubernetes
1.35
Terraform
1.10
GitHub Actions
CI/CD
ArgoCD
2.14

Powered By

AI & ML

04

Cutting-edge AI for intelligent code transformation.

Claude
Opus 4.5 / Sonnet 4
GPT-4
o1 / GPT-4o
Gemini
2.0 Flash
CodeLlama
Llama 3.3
LangChain
0.3.x
Vector DB
Pinecone / pgvector
Fine-tuning
LoRA / QLoRA
RAG
Hybrid search

Async Patterns

Event & Messaging

05

Event-driven architecture and message broker integration.

Apache Kafka
3.9
RabbitMQ
4.0
AWS SQS/SNS
Cloud messaging
Azure Service Bus
Enterprise
Redis Streams
Redis 7.4
Apache Pulsar
4.0
NATS
2.10
Event Sourcing
CQRS patterns

Data Layer

Databases

06

Database migration and polyglot persistence strategies.

PostgreSQL
17
Oracle → PG
19c/23ai → PG 17
SQL Server
2022
MongoDB
8.0
Redis
7.4
Cassandra
5.0
Flyway
10.x
Liquibase
4.30

Secrets & Auth

Security

07

Enterprise security, secrets management, and compliance.

HashiCorp Vault
1.18
AWS Secrets Mgr
Cloud secrets
Azure Key Vault
Microsoft
OAuth2/OIDC
2.1 spec
Keycloak
26.x
SAST/DAST
Snyk / Semgrep
SonarQube
10.8
Trivy
0.58

Monitoring & Logs

Observability

08

Full-stack observability for modern applications.

Prometheus
3.9
Grafana
12.3
OpenTelemetry
Collector 0.142
Jaeger
2.13
ELK Stack
9.2
Datadog
Agent 7.73
New Relic
Agent 11.x
PagerDuty
Events API v2
Our Approach

LSP + AI: Compiler-Validated Transformations

Pure AI code generation often produces plausible-looking but broken code. We combine Language Server Protocol's semantic precision with AI's intelligent generation to deliver transformations that compile, run, and maintain behavioral equivalence.

Why Pure AI Isn't Enough

Traditional AI-Only Approach
  • Hallucinates non-existent APIs
  • Breaks type contracts silently
  • Misses transitive dependencies
  • Inconsistent naming conventions
LSP + AI Hybrid Approach
  • LSP verifies all API references exist
  • Compiler-level type checking
  • Full dependency graph awareness
  • Consistent with codebase patterns

Language Server Protocol

Compiler-Level Semantic Analysis

  • Symbol Resolution
    Precise go-to-definition across modules, including transitive dependencies
  • Call Hierarchies
    Complete incoming/outgoing call analysis for impact assessment
  • Type Information
    Compiler-level type inference, generics resolution, and variance checking
  • Diagnostics
    Real-time error detection with fix suggestions from language servers
  • Semantic Tokens
    Rich syntax understanding beyond regex-based parsing
  • Rename Refactoring
    Safe symbol renaming with cross-file reference updates

Supported Languages: Java (Eclipse JDT), TypeScript (tsserver), Python (Pylance), C# (OmniSharp), Go (gopls), Kotlin (kotlin-language-server)

AI Intelligence Layer

Context-Aware Code Generation

  • Pattern Recognition
    Identify anti-patterns, deprecated APIs, and migration opportunities
  • Idiomatic Generation
    Generate code that follows target framework conventions and best practices
  • Context Awareness
    Understand surrounding code, project structure, and team patterns
  • Intent Understanding
    Comprehend business logic to preserve behavior during transformation
  • Knowledge Retrieval
    RAG-powered access to framework docs, migration guides, and Stack Overflow
  • Multi-Model Ensemble
    Specialized models for analysis, generation, and validation tasks

RAG Sources: Official framework docs, migration guides, release notes, curated Stack Overflow, internal wiki integration

Multi-Model Orchestration

Different models excel at different tasks. We route each transformation step to the optimal model.

Claude Opus 4.5
Anthropic
Complex reasoning, architecture decisions, documentation analysis
GPT-4o / o1
OpenAI
Code generation, API transformation, test creation
Gemini 2.0
Google
Large context analysis, cross-file reasoning, documentation
Llama 3.3
Meta
Fast syntax transforms, local inference, sensitive codebases

Transformation Pipeline

A 6-stage process that alternates between LSP precision and AI intelligence

1
Semantic Indexing
Build complete symbol graph with LSP
LSP
2
Impact Analysis
AI identifies transformation scope
AI
3
Strategy Generation
Create ordered transformation plan
AI
4
Code Transform
AI generates modernized code
AI
5
LSP Validation
Verify type safety and references
LSP
6
Test Generation
AI creates equivalence tests
AI

How It Works: Java 17 to 25 Example

1. LSP Identifies Upgrade Opportunities
// LSP: Pattern matching preview → stable in Java 21+
if (obj instanceof String) {
String s = (String) obj;
return s.length();
}
2. AI Generates Modern Equivalent
// AI: Using pattern matching (Java 21+)
if (obj instanceof String s) {
return s.length();
}
3. LSP Validates All References
LSP: Pattern variable 's' in scope ✓
LSP: Method 'length()' exists on String ✓
LSP: Return type 'int' matches ✓
LSP: No diagnostics. Transformation valid.
4. AI Generates Equivalence Test
@Test
void patternMatch_behaviorPreserved() {
Object obj = "test";
assertThat(modernMethod(obj))
.isEqualTo(legacyMethod(obj));
}

The Result: Transformations You Can Trust

0

Compile errors in output

100%

Reference integrity

Auto

Generated test coverage

Full

Audit trail & rollback

What You Can Achieve

Explore transformation scenarios and discover how AI-powered modernization can help your enterprise reduce costs and accelerate innovation.

Java Modernization
Upgrade Legacy Java Platforms
Transform Java 6/7 applications to Java 17+ with AI-powered code analysis that preserves business logic while enabling modern features.
Up to 4x
performance gain
UI Modernization
Modernize Patient-Facing Applications
Convert legacy JSP/JSF interfaces to modern React or Angular frontends with responsive design and improved accessibility.
Up to 80%
faster load times
Stack Transformation
Transition to Microservices
Break down monolithic applications into scalable microservices architecture with automated dependency analysis and service extraction.
Up to 5x
scalability potential
Explore All Scenarios

Frequently Asked Questions

Get answers to common questions about our modernization services.

Ready to modernize your legacy systems?

Get started with SiliconAgent Transform today and see how our AI-powered platform can help you upgrade, migrate, and modernize your systems with minimal risk.

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