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Technical Spec

Automated XML to Jetpack Compose Migration

RoleTeam Lead & Lead Researcher
TimelineAug 2025 - Present
Tech Stack
KotlinStatic AnalysisAST ParsingAndroidSecurity

The Challenge

The organization faced a massive debt of legacy XML-based Android layouts. Manual migration to Jetpack Compose was slow, error-prone, and risked introducing security vulnerabilities. The goal was to reduce migration time by 40% while ensuring zero security regressions.

Key Constraints

  • Zero tolerance for security regressions (hardcoded secrets, PII exposure).
  • Must support complex, nested XML structures.
  • The generated Compose code had to be idiomatic and maintainable, not just a 1-to-1 translation.
  • Limited team size (4 developers) with a strict beta release deadline.

Designed a two-stage migration pipeline.

Stage 1: Static Analysis & Security Interception Built a custom static analyzer in Kotlin that parses XML ASTs before conversion. It applies a rule set to detect pre-existing vulnerabilities (e.g., hardcoded API keys, insecure input types). If a vulnerability is found, the migration halts with a detailed report, preventing the 'garbage-in-garbage-out' problem.

Stage 2: Semantic Mapping Instead of direct tag-to-composable mapping, we implemented an intermediate semantic layer. This allows capturing intent (e.g., 'a button with a shadow') rather than just properties, enabling us to generate themable Compose components compliant with the new design system.


Engineering Tradeoffs

Custom AST Parser vs. Regex
Pros

Context-aware parsing, significantly fewer false positives, handles nested structures robustly.

Cons

Higher initial development effort and complexity.

Halting on Security Errors
Pros

Guarantees no migrated code has legacy vulnerabilities. Enforces security-first culture.

Cons

Frustrates developers if legacy code is very messy; specific 'ignore' flags had to be implemented.

Impact & Outcome

Reduced UI modernization effort by ~40% in initial benchmarks.

Zero critical vulnerabilities found in the beta release code.

Successfully handled complex nested layouts that failed with standard open-source converters.