Convert Legacy Code to Modern Cloud in Hours.
Automated legacy code conversion for enterprise cloud migrations. Thousands of SQL scripts, stored procedures, and ETL jobs converted to target platform-native code with built-in validation, not months of manual line-by-line rewriting. 3X Code Conversion delivers production-ready output in hours, with every object parsed, scored, converted, and tested.
Legacy code satisfies neither your cloud timeline nor your budget.
Every stalled migration traces back to the same bottlenecks. Manual conversion, missing documentation, inconsistent quality, and platform-specific syntax that no generic tool can handle. 3X Code Conversion eliminates these blockers at scale.
Manual Conversion That Doesn't Scale
Thousands of SQL scripts, stored procedures, and ETL jobs requiring heavy manual work, line by line, object by object. Entire teams consumed for 12 to 18 months with effort that scales linearly because there is no reusable pattern extraction.
Proprietary Syntax With No Cloud Equivalent
Legacy platforms use proprietary SQL dialects, control flow constructs, and data loading utilities with no direct mapping to modern cloud platforms. Each syntax gap requires heavy manual interpretation, rewriting, and testing by engineers who understand both source and target.
Business Logic Buried in Undocumented Code
Critical business rules, exception handling, and conditional transformations buried inside stored procedures and ETL jobs written over 10 to 15 years. No documentation. The engineers who built them have moved on. Converting syntax is mechanical. Preserving business intent requires heavy manual analysis.
Inconsistent Quality Across Conversion Teams
Multiple engineers converting code independently, each applying different naming conventions, formatting standards, and optimization patterns. The result is a converted codebase with no consistency, no enforced platform best practices, and significant technical debt before the first deployment.
No Validation or Regression Testing Framework
Most manual conversions skip systematic testing because there is no framework to validate output at scale. Errors surface in production as broken logic, incorrect data, and costly rollbacks that erode stakeholder confidence in the migration.
Platform Expertise Scarce and Spread Too Thin
Every source-to-target combination demands engineers who understand both the legacy syntax and the target platform architecture. That expertise is scarce, expensive, and impossible to scale when heavy manual conversion work consumes the same people who should be making design decisions.
Intelligent Code Conversion. Not Find-and-Replace.
Intelligent Code Conversion. Not Find-and-Replace. AI-powered automated code conversion that understands legacy logic, resolves dependencies, and generates platform-native code with built-in quality gates.
Deep Code Understanding
AI-Powered Semantic Analysis
Parses legacy SQL, stored procedures, and ETL logic at the semantic level, not syntax level. Resolves implicit dependencies, embedded business rules, platform-specific constructs, and undocumented control flows that pattern-matching tools and generic LLMs miss entirely. Every object is fully understood before automated conversion begins.
Complexity Scoring & Classification
Risk-Based Prioritization Before Conversion.
Automatically scores every legacy code object by structural complexity, dependency depth, cross-system references, and conversion risk. Classifies objects into conversion tiers so teams know exactly which objects convert cleanly, which need human review, and which carry downstream migration risk. Eliminates guesswork in sprint planning.
Agentic Code Conversion
Goal-Aware, Multi-Pass Conversion Engine.
Goes beyond line-by-line SQL translation. The agentic conversion engine understands the intent behind legacy logic and reconstructs it using target platform-native patterns, optimized joins, and modern SQL constructs. Each object goes through iterative validation passes until output meets defined quality gates. No hallucinated table names. No missing columns.
Automated Refactoring
Platform-Native Optimization, Not Literal Translation.
Refactors converted code to eliminate legacy anti-patterns, reduce redundant logic, and apply target platform best practices for Snowflake, Databricks, Synapse, or Fabric. Output is production-ready code optimized for the new platform, not a literal copy that compiles but runs inefficiently with legacy performance patterns.
Automated Testing & Validation
Built-In Data and Logic Validation at Every Stage.
Generates and executes test cases automatically for every converted object. Validates row counts, column mappings, data type conversions, null handling, join logic, and business rule equivalence between source and target. Issues are flagged with root cause before deployment, not discovered in production after go-live.
Developer Action Items
Clear, Actionable Guidance for Every Flagged Object.
Every object requiring human attention comes with specific, prioritized action items: what failed validation, why, the exact line in converted code, and what the developer needs to resolve. No vague warnings or generic error logs. Engineers spend time fixing known issues, not reverse engineering conversion output.
From legacy codebase to production-ready output.
A three-stage intelligent pipeline that ingests, converts, and validates your entire legacy codebase automatically.
- Cross Platform
- Complex Logic
- 1,000+ Scripts
- Undocumented Code
See exactly what you get.
Every conversion run produces structured, auditable deliverables. Here's a live preview of what your team receives.
- Conversion Summary
- Complexity Scorecard
- Validation Report
- Developer Actions
From any legacy platform. To any modern cloud.
3X Code Conversion handles cross-platform migrations natively. Source and target — covered.
Teradata
BTEQ, SQL, stored procs
Oracle
PL/SQL, packages, triggers
Netezza
SQL, stored procs, NZPLSQL
SQL Server
T-SQL, SSIS, stored procs
Snowflake
Snowflake SQL, Snowpipe
Databricks
Spark SQL, Delta Lake
BigQuery
Standard SQL, BigQuery ML
Microsoft Fabric
Synapse, Data Factory
Every legacy platform. One conversion engine.
3X Code Conversion supports the most in-demand enterprise migration paths. Same AI-powered engine, same quality gates, adapted for each source-to-target platform pair.
Production-ready code. From day one.
Everything your team needs to convert, validate, and deploy, delivered automatically. Less rework cycles. Less manual cleanup.
Hours, Not Months
Automated code conversion for 1,000+ legacy objects delivered in hours, not the 12-18 months of manual line-by-line SQL translation that stalls enterprise cloud migrations and burns through project budgets before the first object reaches production.
Production-Ready Output
Converted code follows target platform best practices for Snowflake, Databricks, Synapse, and Fabric with optimized query patterns, proper formatting, and platform-native constructs. Ready for deployment and performance testing, not another round of manual refactoring.
Built-In Quality Assurance
Automated validation and regression testing at every conversion stage ensures business logic integrity is preserved across platforms. Row counts, data types, null handling, and join logic verified before any converted object moves forward to deployment.
Actionable Developer Guidance
Every partially converted or flagged object includes clear, specific developer action items with full context: what failed, why, where in the code, and exactly what needs to be resolved. Engineers fix known issues in minutes, not spend days investigating conversion output.
See Code Conversion in Action
Get a personalised walkthrough tailored to your legacy code conversion and cloud migration requirements.
Let's talk scale.
Our team of engineering experts and AI architects is ready to help you accelerate your data modernization journey.