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PhoenixCode Platform

The enterprise code migration platform that combines 21 specialized AI agents with a 76-step deterministic pipeline blueprint to transform legacy applications into modern solutions.

What runs when you press migrate

  1. A00–A10

    Analysis

    11 steps

    Validates the Lens blueprint, reads the legacy

  2. D01–D10

    Design

    10 steps

    Target architecture

  3. G01–G20

    Generation

    20 steps

    Backend in .NET 10

  4. U01–U10

    UI Transform

    10 steps

    Forms to Angular 22

  5. Q01–Q13

    Quality

    13 steps

    Tests, parity, docs

  6. DP01–DP08

    Deployment

    8 steps

    Docker and CI/CD

+2 on close — FinalizeJob and CreateAuditLog, outside any phase

What decides each step

Deterministic
70%
AI
30%

Six places the line stops

  • Build verification
  • Unit tests
  • Integration tests
  • Security scan
  • Code quality
  • Functional equivalence

If one fails the job stops. It does not carry on with a warning.

Three Migration Directions

Legacy → Modern

Forward Migration

Transform legacy code (Delphi, COBOL, VB6, PowerBuilder) into modern .NET 10, Angular 22, React, or Vue.

Frontend ↔ Backend

Reverse Engineering

Generate backend APIs from frontend code, or create modern UI from existing backend services.

Old → New Version

Framework Modernization

Upgrade within the same technology: .NET Framework 4.8 to .NET 10, Angular 12 to Angular 22 with Signals.

One Demonstrated, Five With a Translator

Delphi is the one taken end to end. The other five have a translator and no public run yet — we say which is which.

Delphi / Object Pascal
PowerBuilder
FoxPro
Visual Basic 6 (VB6)
COBOL
Oracle Forms

.NET Framework 2.0–4.8 and WinForms are handled as framework modernisation, not legacy migration — see the three directions above.

Depth is the thing, not the list

Taking a language all the way through — real AST, method bodies, a graph with a code layer — is what makes a migration hold. Delphi is there today, proven on a 3,885-file run. Taking the next language to that depth is a scoped project with a precedent, not a promise. We would rather show you the one that works than a catalogue that doesn't.

See what that run produced →

Target Platforms

Two backends and four front ends, each with a generator behind it.

.NET 10 (Blazor, MAUI, API-first)
Spring Boot 3 (Thymeleaf, REST)
Angular 22 (DevExtreme, Kendo UI)
React 19 (TanStack, Material UI)
Vue 3.5 (Vuetify, PrimeVue)

76-Step Deterministic Pipeline

Six phases with quality gates ensure consistent, high-quality output.

Phase 1
Analysis
A00-A10

Parse, extract, classify source code

Gate: Build Verification
Phase 2
Design
D01-D10

Architecture, patterns, mapping

Gate: Unit Tests
Phase 3
Backend Generation
G01-G20

Models, services, APIs, data layer

Gate: Integration Tests
Phase 4
UI Transform
U01-U10

Components, forms, navigation

Gate: Security Scan
Phase 5
Quality
Q00-Q13

Tests, validation, graph integrity

Gate: Code Quality
Phase 6
Deployment
DP01-DP08

CI/CD, Docker, Kubernetes, IaC

Gate: Functional Equivalence

21 Specialized AI Agents

A two-tier hierarchy: 7 master agents coordinate the pipeline phases and direct 14 cross-cutting specialists.

7 Master Agents
Analysis
Parses and classifies legacy code
Architecture
Designs target architecture
Backend
Generates .NET 10 backend code
Frontend
Generates modern UI components
Quality
Validates output and runs tests
Documentation
Generates docs and audit trails
Deployment
Generates CI/CD, Docker, and Kubernetes
14 Specialist Agents

Cross-cutting experts the masters invoke for focused tasks — performance, security, API-contract validation, architecture review, SRE, test planning, correction, pattern extraction, and more.

Powered by 106 optimized prompt templates and 1,200+ transformation rules

Measured, not modelled

One Delphi corpus. 3,885 files.
Here is what came out.

Every number below was measured on a single real run in August 2026 — not projected from a rate card. The residue is published alongside, because a migration that claims to have solved everything is not believed by anyone who has done one.

  1. Generated stubs

    20,6891,515

    −92.7%

    Placeholders left where the generator could not produce real code.

  2. Backend compile errors

    2,26836

    −98.4%

    On the generated .NET backend, before any manual fix.

  3. UI parity

    95.4%

    Share of legacy menu options that land on a generated screen (2026-08-04). It does not mean the application works end to end: 80 of 628generated screens reach a backend endpoint so far. The front end is ahead of the wiring, and we would rather you hear that from us.

What the same run did not solve

  • 1,515stubs still standingeach one located and labelled in the output
  • 2,799raw pointer expressionsno exact equivalent compiles in safe C# — a product call, not a bug
  • 29empty catch blocksfaithful to the legacy, and flagged as debt on the way out

This list is not an apology — it is the output of the fidelity register, which records every point where the generator chose faithfulness over cleanliness. It is the backlog the remediation phase starts from.

These numbers are Delphi. It is the only language at this parser depth today. For the others, bodies arrive as stubs and the dependency graph has no code layer — so we do not sell them as equivalent, and neither should this page.

Enterprise-Grade Guarantees

95.4% UI Parity

Measured on the Delphi reference run: the share of legacy screens reachable and rendered in the generated Angular front end. See the numbers below.

70% Deterministic

Only 30% of transformations use generative AI. The rest follow proven, rule-based patterns for predictable output.

On-Premise Option

Deploy behind your firewall. Your source code never leaves your network. Full air-gapped support available.

Complete Audit Trail

Every step is recorded with who ran it, when, and the values before and after. Queryable, exportable, and append-only.

Frequently Asked Questions

How does the 76-step pipeline differ from other migration tools?

Most tools generate code with AI and hope for the best. <span style='color:#FF6B35'>Phoenix</span>Code uses a deterministic pipeline where 70% of transformations follow proven rule-based patterns. AI handles only the 30% that requires contextual understanding. Every step has a quality gate.

What languages can I migrate from?

Delphi/Object Pascal, Visual Basic 6, COBOL, PowerBuilder, Oracle Forms, WinForms, and .NET Framework 2.0-4.8. Each source language has a specialized parser and transformation rule set.

What are the target platforms?

.NET 10, Angular 22 (with DevExtreme or Kendo UI), React 19, Vue 3.5, and Spring Boot. You choose the target stack and the platform generates production-ready code.

Is my source code secure?

Absolutely. The Platform can run on-premise behind your firewall. In the SaaS version, your code is encrypted in transit and at rest, processed in isolated tenants, and deleted after the migration is complete.

How long does a typical migration take?

A 200K LOC Delphi system typically migrates in 3-4 months with <span style='color:#FF6B35'>Phoenix</span>Code vs 12-18 months manually. This includes human review and testing cycles.

Can I start before the Platform launches?

Yes. Start with <span style='color:#FF6B35'>Phoenix</span>Code <span style='color:#5CB8FF'>Lens</span> today to assess your legacy system. The Lens assessment generates a Migration Blueprint that feeds directly into the Platform, giving you a head start.

Start with an Assessment

Use PhoenixCode Lens today to assess your legacy system. When the Platform launches, you'll be ready to migrate.