AI-Powered Migration Services
Migrate entire systems between platforms, frameworks, and cloud providers with AI-assisted precision. Go Bananas handles zero-downtime migration strategies, automated testing at every stage, and data integrity verification — reducing months of manual effort to days.
Migration Paths We Handle
Platform migrations are among the highest-risk initiatives in enterprise IT. Every migration involves thousands of interdependent decisions — schema mappings, API translations, configuration differences, and behavioral edge cases between source and target systems. The AI agent maps these dependencies automatically and executes the transformation with full context awareness.
- Cloud migrations — AWS to GCP, Azure to AWS, on-premises to cloud. Infrastructure-as-code translation, service mapping between cloud-native equivalents (Lambda to Cloud Functions, S3 to Cloud Storage, RDS to Cloud SQL), and configuration migration with environment parity validation.
- Framework migrations — Angular to React, Vue 2 to Vue 3, Rails to Node.js, Django to FastAPI. The AI maps routing, state management, middleware, and templating patterns from the source framework to idiomatic equivalents in the target — not line-by-line translation, but architectural re-expression.
- Database migrations — Oracle to PostgreSQL, MongoDB to PostgreSQL, MySQL to Aurora. Schema conversion, stored procedure translation, query rewriting, data type mapping, and automated integrity checks that verify row counts, referential constraints, and computed values match between source and target.
- CMS migrations — WordPress to headless CMS, Drupal to Next.js. Content model extraction, template-to-component conversion, media asset migration, URL structure preservation, and SEO redirect map generation.
- E-commerce platform migrations — Magento to custom storefronts, Shopify to headless commerce. Product catalog migration, order history preservation, payment integration re-wiring, and checkout flow reconstruction.
- API migrations — REST to GraphQL, SOAP to REST. Endpoint mapping, schema generation, resolver scaffolding, client SDK updates, and backward-compatible gateway layers that let consumers migrate incrementally.
Our Migration Process
Assessment and dependency mapping
The AI inventories every component, service, database table, API endpoint, and third-party integration in your current system. It produces a complete dependency graph that identifies migration risks, tightly coupled modules, and the optimal migration sequence.
Migration strategy and rollback plan
Based on the assessment, the AI generates a phased migration strategy with explicit rollback procedures at each stage. Every phase has defined success criteria and a revert path so that a failed step never leaves the system in an inconsistent state.
Automated code transformation
The AI rewrites application code from the source platform to the target, preserving business logic while adopting idiomatic patterns of the new stack. This is not mechanical find-and-replace — it is semantic translation informed by the full project context.
Data migration with integrity checks
Schema conversion, data type mapping, and bulk transfer scripts are generated automatically. The AI produces validation queries that compare row counts, checksums, and referential integrity between source and target databases to confirm zero data loss.
Parallel running and validation
The migrated system runs alongside the original, processing the same inputs. Output comparison detects behavioral discrepancies before cutover. This dual-running period builds confidence that the migration is functionally equivalent to the original.
Cutover and monitoring
Traffic is shifted to the new system with automated health checks and alerting. The AI generates monitoring dashboards and runbooks specific to the migrated architecture, ensuring your operations team has full visibility from day one.
Why AI-Assisted Migration
Manual platform migrations consistently exceed budget and timeline estimates. Enterprise teams report 60-80% of migration effort is spent on discovery, mapping, and edge case handling — exactly the work AI excels at. Here is what changes when the AI handles the mechanical translation.
- Speed — migrations that take engineering teams 6-12 months are reduced to weeks. The AI processes thousands of files in parallel, producing transformed code faster than any team can write it manually.
- Accuracy — the AI maintains a complete map of every dependency, import, and API contract across the entire codebase simultaneously. Human developers working file-by-file inevitably miss cross-cutting references that cause runtime failures after migration.
- Edge case coverage — legacy systems accumulate years of special cases, workarounds, and undocumented behavior. The AI reads every conditional branch and carries forward logic that human developers might dismiss as dead code or overlook during manual review.
- Cost reduction — enterprise migration projects routinely cost millions in developer hours. AI-assisted migration reduces the human effort to review, validate, and fine-tune rather than write every line from scratch, cutting costs by 70-90% compared to manual rewrites.
Start Your Migration
Describe your migration — source platform, target platform, and constraints. The AI agent builds your migration plan and begins executing it immediately.