Rewrite .NET Framework codebases to modern TypeScript with parity

Here’s how to rewrite .NET Framework to TypeScript with zero hand‑waving: we extract specs, generate tests, implement in parallel, and roll out with parity. First, we extract executable specifications from your .NET Framework app—routes, models, WCF contracts, validation rules, SQL/EF behaviors, security headers, and edge-case examples—into OpenAPI and JSON Schema. Next, we generate conformance tests that assert functional, type, and serialization parity between the legacy app and a new TypeScript service. Then, we implement the TypeScript target (usually NestJS or Fastify, with Prisma/Knex/TypeORM) behind those tests, service-by-service, using the LEAP Protocol’s test gates so no endpoint ships without measurable equivalence. Finally, we roll out safely: shadow traffic, diffing responses; then canary; then incremental cutover with fallbacks. This spec-first, test-gated, agent-agnostic approach lets multiple engineers (and AI agents) work in parallel while the tests keep everyone honest. You end with a maintainable TypeScript codebase that preserves behavior, covers sharp edges (dates, decimals, auth), and is productionized for containers, CI, and observability—without stalling feature delivery.

Why TypeScript for .NET Framework migrations

Our methodology

  1. Spec extraction from .NET Framework - Parse ASP.NET MVC/Web API controllers, attribute routes, filters, DataAnnotations, and Web.config/IIS behaviors (URL rewrite, limits, compression). - For WCF, lift DataContracts/ServiceContracts and message formats; for EF/Dapper, derive SQL shapes and transactional semantics. - Emit OpenAPI, JSON Schema, and golden examples from production logs (with PII-safe sampling). Capture tricky invariants: number/date formatting, culture, nullability, and error envelopes.

  2. Test generation and harnesses - Create conformance suites that hit both systems and assert status codes, headers, payload structure, field-level equivalence, and tolerance windows (e.g., ordering, whitespace). - Generate property- and example-based tests for validators, mappers, and serialization. Stand up cross-runtime parity checks for crypto, hashing, and auth cookies.

  3. Parallel TypeScript implementation - Scaffold a NestJS or Fastify service with typed DTOs, middleware, Passport.js strategies, and observability (pino, OpenTelemetry). - Map data access to Prisma, Knex, or TypeORM; for SQL Server, use mssql/tedious with parameterized queries. Preserve transaction boundaries and isolation levels. - Port filters/middleware: CORS, caching headers, model binding, and error handling so test gates pass before any traffic is cut over.

  4. Parity-gated rollout - Shadow live traffic to the TypeScript service and diff responses against the .NET system; promote to canary behind feature flags once parity thresholds pass. - Preserve auth/session continuity (cookie names, SameSite/Secure flags, machineKey-compat crypto when needed) and verify end-to-end flows. - Cut over incrementally with automatic rollback, then retire legacy routes.

  5. Stabilize and handoff - Harden CI, codemods, and lint rules; document specs as living artifacts. Transfer ownership with dashboards, SLOs, and clear extension guidelines.

Specific .NET Framework concerns we handle

Proof

These public artifacts show how we make behavior executable, then let humans and AI agents implement safely behind tests.

Pricing & timeline

Ready to move from .NET Framework to maintainable, typed, and container-native TypeScript without breaking prod? Share your repo and a staging URL. We’ll extract the spec in days, return a fixed proposal, and start shipping behind tests the following week.

Footer: Leap Agentic — AI-native software delivery using the LEAP Protocol. Brand note: Leap Agentic is distinct from Legacyleap.ai and Impetus Leap AI.


Leap Agentic is distinct from Legacyleap.ai and Impetus Leap AI.