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Both tools automate feature flag cleanup, but they take fundamentally different approaches. See which one fits your team's needs.
Cleanup-only tool that integrates with your existing LaunchDarkly, Split.io, or other providers. No migration required.
Full platform replacement for feature flag management. Cleanup is one feature among many. Requires migration.
| Feature | FlagShark | Reflag |
|---|---|---|
| Migration required? | No - works with existing providers | Yes - replaces your stack |
| Cleanup technology | Deterministic AST (Piranha) | AI-generated |
| Go support | ||
| Python support | ||
| TypeScript/JavaScript | ||
| Java support | ||
| LaunchDarkly integration | ||
| Split.io integration | ||
| Code correctness guarantee | 100% deterministic | Probabilistic (AI) |
| Target audience | Enterprise teams | TypeScript startups |
| Vendor lock-in | None - vendor neutral | Yes - proprietary platform |
Already using LaunchDarkly or Split.io? Keep using them. FlagShark plugs into your existing setup and handles cleanup automatically.
Reflag requires you to replace your entire feature flag infrastructure—a massive undertaking for established teams.
FlagShark uses AST (Abstract Syntax Tree) parsing via the Piranha engine. Every refactor is mathematically correct—no guessing.
AI-generated code can hallucinate. CTOs at banks and healthcare companies can't afford “creative” code changes in production.
FlagShark supports Go, Python, Java, and TypeScript—the languages enterprise backends actually use.
Reflag focuses on the TypeScript/React ecosystem. If your backend is Go or Python, you're out of luck.
Understanding the fundamental difference in how each tool removes code
Same input always produces same output
You can verify exactly what changed and why
Math doesn't make creative mistakes
Same input may produce different outputs
Harder to explain why specific changes were made
LLMs can introduce subtle bugs in edge cases