Moderne vs PolyglotPiranha

Moderne provides infrastructure for developers and AI coding agents to analyze, modernize, secure, and govern large software systems. Its hybrid SaaS runs deterministic recipes across thousands of repositories in a single-tenant cloud environment chosen by provider and region. Moderne DX instead runs within a customer network without outbound connectivity, keeping source code, recipes, and analysis inside that perimeter. Teams can group repositories by business unit and reporting structure using one CSV file, with results rolling up to leaders. DevCenter tracks upgrade, migration, and vulnerability status, including timelines and remaining occurrences. Its marketplace has thousands of type-aware recipes, and changesets support reviewing diffs, viewing results, and making multi-repository commits or pull requests. Changelog connects to source-control services and internal systems; agents can query change context through MCP and the GraphQL API. The product supports Linux, macOS, Windows, web, API, and self-hosted deployments. Pricing is paid, from $2,000/mo. Listed plans include Member at $2,000 a month, billed monthly or yearly; Commercial at a price agreed with the maker; Steering Committee at a price agreed with the maker; Enterprise at a price agreed with the maker; and Fully Managed Service at a price agreed with the maker. Moderne states it is SOC 2 Type 2 compliant.

PolyglotPiranha is a free, multilingual structural search-and-replace engine for code cleanup. It can refactor stale feature-flag code when given a flag name, expected behavior, and configured feature-flag API rules. Rules can form graphs, and built-in language-specific cleanups include simplifying boolean expressions and if-else statements, removing empty declarations and files, and inlining local variables. Queries and filters may use Tree-sitter queries, regular expressions, or Piranha’s concrete syntax. The project is available as a Python library and command-line tool, with the Python API wrapping the CLI. The CLI lists Java, Swift, Python, Kotlin, Go, TSX, and TypeScript as target languages. Dry runs prevent in-place rewriting and produce summaries of matches, rewrites, and resulting file content. API configuration requires code path, configuration path, target language, and substitutions, with optional rules.toml and edges.toml files. Python installation uses pip; the CLI can be built with Rust and Cargo or obtained from releases. Piranha is Apache 2.0, provided as is, and not an official Uber product.