Breaking a monolith into services requires understanding every dependency, shared module, and hidden coupling. VibeRails maps the full codebase so you can decompose with confidence.
Most monolith-to-microservices projects do not fail because of infrastructure problems. They fail because the team did not fully understand the monolith before they started cutting. A service boundary drawn in the wrong place creates two tightly coupled services instead of one coherent monolith – strictly worse than where you started.
The problem is visibility. Monoliths accumulate hidden couplings over years of development. Module A calls a utility function in Module B that reads shared state from Module C. A database query in the order service joins against a table owned by the user service. A configuration value in one package silently affects behaviour in three others.
These dependencies are not captured in architecture diagrams. They exist in the code, spread across hundreds or thousands of files, and the only way to find them is to read the code. Manually tracing every dependency in a large monolith takes weeks or months. Teams typically skip this step and discover the hidden couplings during extraction, when the cost of fixing them is highest.
VibeRails performs a full-codebase scan using frontier AI models. Every file is analysed for its purpose, structure, and relationships to the rest of the project. For monolith decomposition specifically, the scan surfaces findings that directly inform service boundary decisions:
Each finding includes the file path, line range, severity, and a description of the issue. The structured output transforms an opaque monolith into an inventory of specific problems that need to be resolved before or during decomposition.
Architecture discussions about service boundaries often start from module names and developer intuition. The payment module should be a service. The user module should be a service. The notification module should be a service. These boundaries feel natural but may not reflect the actual dependency structure in the code.
VibeRails findings provide concrete data to inform these decisions. If the payment module has circular dependencies with the order module, extracting payment as a standalone service will require breaking those cycles first. If the user module shares database tables with four other modules, the data ownership question needs to be resolved before the module can run independently.
The triage workflow lets the team prioritise which findings matter for decomposition and which are general code quality issues to address separately. Not every finding is relevant to service boundary decisions. The team reviews, categorises, and builds a remediation plan that sequences the work: resolve couplings first, then extract services.
Monolith decomposition is a multi-month or multi-year effort. Progress is hard to measure when the only metric is “services extracted.” A service that was extracted but still shares a database and has synchronous dependencies on three other services has not actually been decomposed – it has been relocated.
VibeRails supports running scans at any point in the process. Run a baseline scan on the monolith before starting decomposition. Run another scan after extracting the first service. Compare findings to verify that circular dependencies decreased, that dead code was removed, and that the remaining monolith is cleaner than before.
This before-and-after approach turns decomposition from a subjective process into a measurable one. Leadership can see progress in terms of findings resolved, risk areas addressed, and dependency complexity reduced – not just services deployed.
VibeRails runs as a desktop app with a BYOK model. It orchestrates Claude Code or Codex CLI installations you already have. Your monolith's source code is read from disk locally and sent directly to the AI provider you configured – never to VibeRails servers.
There is no integration required with your CI pipeline, Git hosting, or issue tracker. Point VibeRails at the local repository and run the scan. Export findings as HTML for architecture discussions or CSV for import into your project management tool.
Licences are per-developer: $19/month or $299 lifetime, with a free tier of 5 issues per session. Run a scan on your monolith today and see what the dependency landscape actually looks like before your next decomposition planning session.
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