See how teams use VibeRails to improve code quality at scale.
Inherited a codebase with years of accumulated debt? VibeRails scans every file across 17 detection categories, surfaces hidden bugs, and helps you build a structured remediation plan.
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Manual security audits are slow and expensive. VibeRails applies AI reasoning to find auth issues, data exposure, and injection vulnerabilities across your entire codebase with exportable audit trails.
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Code from Copilot, Cursor, or Claude can introduce subtle quality issues. Use VibeRails as a quality gate after AI coding sessions to catch type safety gaps, missing error handling, and dead code.
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Review your entire codebase without uploading code to a VibeRails cloud service. Desktop app for local triage and reporting, with BYO AI analysis via Claude Code or Codex CLI.
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Use the AI subscriptions you already pay for. No markup, no middleman. VibeRails orchestrates your existing Claude Code or Codex CLI installations. Per-developer licensing keeps costs transparent.
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Run AI code review with fully local models on your own hardware. Zero data leaves your network. Supports Ollama, vLLM, and llama.cpp for air-gapped, ITAR, and CMMC-compliant environments.
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AI code review for environments with no external network connectivity. Desktop hardware, cloud VPC, or hybrid deployment – VibeRails works in classified, SCIF, and zero-trust environments.
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Dynamic typing hides issues that linters miss. VibeRails reviews Django, Flask, and FastAPI codebases across every file – surfacing import cycles, type safety gaps, and framework-specific debt.
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Spring Boot configuration sprawl, deprecated APIs, and Java 8-to-21 migration debt accumulate across enterprise codebases. VibeRails scans every file with AI that understands framework semantics.
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Framework churn, callback-to-async migrations, and JS-to-TS type safety gaps compound across large codebases. VibeRails finds cross-file issues that ESLint and TypeScript alone cannot catch.
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Enterprise .NET codebases accumulate framework migration debt and async/await misuse. VibeRails reads every file with AI that understands DI patterns, EF queries, and .NET upgrade paths.
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Rails conventions hide complexity behind callbacks and metaprogramming. VibeRails traces logic across models, controllers, and services to find what RuboCop and Brakeman miss.
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PHP codebases span decades of framework evolution. VibeRails reviews every file and finds SQL injection patterns, migration debt, and architectural issues that PHPStan and Psalm miss.
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Go's simplicity creates hidden debt: inconsistent error handling, goroutine leaks, and boilerplate duplication. VibeRails finds cross-package patterns that go vet and staticcheck miss.
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Acquiring a codebase? VibeRails produces a structured technical due diligence report across 17 categories – before the deal closes.
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Compliance auditors ask about code quality processes. VibeRails provides exportable, structured evidence of full-codebase review across security and architectural categories.
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New engineers spend weeks understanding a codebase. VibeRails produces a structured map of issues and patterns – giving new team members a head start.
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Breaking a monolith into services requires understanding every hidden coupling. VibeRails maps the full codebase so you can define service boundaries with confidence.
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A practical pattern for turning review sessions into audit-ready evidence: cadence, triage records, and remediation traceability.
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Define model-routing boundaries and data processing locations so engineering teams can run AI review under GDPR constraints.
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Map VibeRails outputs to CMMC-oriented evidence requirements with a repeatable review and remediation process.
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Implementation checklist for network-isolated cloud deployments: egress controls, model artifact flow, and handover controls.
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A phased adoption checklist for scaling VibeRails from pilot to multi-team rollout with clear ownership and governance.
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Full-codebase AI code review tailored to your language and framework ecosystem.
Find type system abuse, strict mode violations, complex generics, and React/Next.js anti-patterns across your entire TypeScript codebase.
Learn more →Surface unsafe blocks, lifetime complexity, and concurrency patterns that Clippy misses. Full-codebase AI review for Rust projects.
Learn more →Find coroutine misuse, Java interop issues, and Android-specific anti-patterns. AI code review across your entire Kotlin codebase.
Learn more →Detect retain cycles, concurrency issues, and SwiftUI anti-patterns. Full-codebase AI review for iOS and macOS projects.
Learn more →Find memory management issues, undefined behaviour, and modernisation debt. AI code review across your entire C++ codebase.
Learn more →Find implicit abuse, Future composition errors, actor model anti-patterns, and SBT build complexity. AI code review across your entire Scala codebase.
Learn more →Find GenServer state issues, supervision tree flaws, pattern matching gaps, and Phoenix LiveView memory leaks. AI code review across your entire Elixir codebase.
Learn more →Framework-specific AI code review that understands your stack's idioms and anti-patterns.
Find prop drilling, excessive re-renders, stale closures in hooks, and inconsistent state management across your entire React codebase.
Learn more →Surface unhandled promise rejections, event loop blocking, memory leaks, and security patterns across your entire Node.js backend.
Learn more →Find N+1 queries, missing select_related, raw SQL injection risks, and migration conflicts across your entire Django application.
Learn more →Find circular bean dependencies, N+1 JPA queries, configuration sprawl, and security misconfigurations across your entire Spring Boot application.
Learn more →Find change detection issues, observable memory leaks, oversized modules, and architectural anti-patterns across your entire Angular codebase.
Learn more →Find reactivity pitfalls, component communication anti-patterns, Vuex/Pinia coupling issues, and Options API vs Composition API inconsistencies across your entire Vue codebase.
Learn more →Find server/client component boundary mistakes, data fetching anti-patterns, middleware misuse, and bundle size regressions across your entire Next.js application.
Learn more →Find memory leaks, battery drain patterns, navigation state complexity, and platform-specific drift across React Native, Flutter, iOS, and Android codebases.
Learn more →Find plugin conflicts, SQL injection in custom queries, hook priority issues, and theme customisation debt across your entire WordPress codebase.
Learn more →Find Eloquent N+1 queries, mass assignment vulnerabilities, middleware misconfigurations, and facade dependency hiding across your entire Laravel application.
Learn more →Find async/await deadlocks, IDisposable misuse, DI anti-patterns, Entity Framework N+1 queries, and middleware pipeline ordering issues across your entire .NET application.
Learn more →Find state file conflicts, hardcoded values, over-permissive IAM policies, missing lifecycle rules, and module coupling across your entire Terraform codebase.
Learn more →Find reactive statement complexity, store subscription leaks, SvelteKit data loading anti-patterns, and SSR hydration mismatches across your entire Svelte codebase.
Learn more →Find N+1 queries, ActiveRecord anti-patterns, callback cascades, STI pitfalls, mass assignment risks, and service object inconsistency across your entire Rails application.
Learn more →Find async/await misuse, dependency injection complexity, Pydantic model drift, CORS misconfigurations, and middleware ordering issues across your entire FastAPI application.
Learn more →Find widget tree bloat, state management fragmentation, platform channel misuse, build method complexity, and missing key usage across your entire Flutter codebase.
Learn more →Find circular dependencies, decorator misuse, guard and interceptor ordering issues, repository anti-patterns, and module architecture decay across your entire NestJS application.
Learn more →Find data loading waterfalls, loader/action anti-patterns, error boundary gaps, server/client code separation issues, and nested routing pitfalls across your entire Remix application.
Learn more →Structured codebase insights for engineering leaders, founders, and technical advisors.
Get a structured inventory of technical debt, security risks, and architectural issues to inform strategy and resource allocation.
Learn more →Quantify technical debt with evidence-based findings. Prioritise paydown, measure progress, and present a credible case to leadership.
Learn more →Non-technical founders get visibility into code quality, security risks, and contractor work without needing to read a line of code.
Learn more →Consultants and advisors get structured technical due diligence reports for M&A, investment, and vendor evaluation engagements.
Learn more →Get visibility into code quality across your team. Data for sprint planning, risk identification before incidents, and evidence-based technical discussions with product.
Learn more →Surface testability gaps, flaky test patterns, weak assertions, test architecture decay, and coverage quality issues across your entire codebase and test suite.
Learn more →Balance review thoroughness with velocity, establish consistent standards, mentor through structured findings, and build a review culture that scales beyond one person.
Learn more →Industry-specific code review for regulated and high-stakes environments.
Find transaction handling issues, PCI compliance gaps, and financial calculation risks across your entire fintech codebase.
Learn more →Surface HIPAA-relevant data handling issues, PHI exposure risks, and audit trail gaps in healthcare applications.
Learn more →Find multi-tenancy isolation gaps, data leakage risks, API security issues, and feature flag debt in SaaS applications.
Learn more →Find payment handling security gaps, inventory race conditions, price calculation inconsistencies, and checkout flow vulnerabilities in e-commerce applications.
Learn more →Government software teams face compliance mandates, procurement constraints, restricted networks, and legacy systems. VibeRails is a desktop app with BYOK and per-developer pricing that simplifies procurement.
Learn more →Give students consistent, structured code review feedback at scale. Affordable per-developer pricing with volume discounts for departments, plus exportable reports for grading support and research code quality.
Learn more →Find game loop inefficiencies, memory allocation in hot paths, ECS anti-patterns, shader quality issues, and multiplayer synchronisation problems across your entire game codebase.
Learn more →Find actuarial calculation errors, policy rule engine defects, claims processing logic gaps, and regulatory compliance issues across your entire insurance codebase.
Learn more →Find routing algorithm defects, inventory synchronisation failures, order state machine gaps, warehouse management logic errors, and ERP integration anti-patterns across your entire logistics codebase.
Learn more →Targeted AI code review for specific quality and security concerns.
Find broken authentication, excessive data exposure, missing rate limiting, injection vulnerabilities, and BOLA/IDOR issues across your entire API surface.
Learn more →Find missing rollback plans, data loss risks, performance regressions from schema changes, ORM mismatches, and transaction boundary mistakes across your entire migration project.
Learn more →Find training/serving skew, data pipeline inconsistencies, hardcoded hyperparameters, and notebook-to-production code quality issues across your entire ML codebase.
Learn more →Find hardcoded secrets, over-permissive IAM policies, Terraform drift, Dockerfile anti-patterns, and Kubernetes misconfigurations across your entire infrastructure codebase.
Learn more →Find query complexity attacks, N+1 resolver problems, missing mutation authentication, and schema design inconsistencies across your entire GraphQL API.
Learn more →Find hardcoded secrets, overly broad permissions, missing rollback plans, and pipeline duplication across GitHub Actions, GitLab CI, and Jenkins configurations.
Learn more →Find silent data loss, schema drift, idempotency violations, and retry logic gaps across Airflow DAGs, Spark jobs, dbt models, and Kafka consumers.
Learn more →Find context-dependent security issues that SAST tools miss: authentication logic flaws, authorisation bypass, cryptographic misuse, and business logic vulnerabilities.
Learn more →Find flaky tests, slow test suites, brittle assertions, inadequate test isolation, excessive mocking, and snapshot rot across your entire testing infrastructure.
Learn more →After an incident, find every instance of the pattern that caused it. Trace root causes across files, identify systemic weaknesses, and verify fixes don't introduce new issues.
Learn more →Find N+1 queries, unnecessary re-renders, memory leaks, inefficient algorithms, and missing caching opportunities across your entire codebase before they hit production.
Learn more →Find outdated packages with known CVEs, abandoned dependencies, licence compliance risks, duplicate packages, and lock file inconsistencies across your entire project.
Learn more →Find breaking changes in compatible versions, inconsistent versioning strategies, deprecated endpoint handling gaps, and documentation drift across your entire API surface.
Learn more →Find incomplete migration patterns, adapter complexity, dependency conflicts, and performance regressions from compatibility layers across your entire migrating codebase.
Learn more →Find missing ARIA attributes, keyboard navigation gaps, focus management problems, colour contrast failures, and WCAG violations that automated scanners miss.
Learn more →Code review tailored to where your company is in its growth journey.
Ship fast without losing control of code quality. Per-developer licensing with monthly and lifetime options, plus a free tier to evaluate – built for resource-constrained engineering teams.
Learn more →Scale AI code review across hundreds of developers with per-developer licensing, BYOK execution, exportable governance reports, and volume discounts for large teams.
Learn more →Solo developers lack peer review. VibeRails gives freelancers a structured review process, professional reports for clients, and confidence when inheriting unfamiliar codebases.
Learn more →Code review for agencies, freelancers, and distributed teams.
Agencies review client handoffs, audit contractor work, and standardise quality across projects. Per-developer licensing with volume discounts, exportable reports for client presentations.
Learn more →Solo developers lack peer review. VibeRails gives freelancers a structured review process, professional reports for clients, and confidence when inheriting unfamiliar codebases.
Learn more →Architecture-level code review for distributed systems and complex codebases.
Find inconsistent API contracts, duplicated logic across services, shared database anti-patterns, and hidden service coupling across your distributed system.
Learn more →Breaking a monolith into services requires understanding every hidden coupling. VibeRails maps the full codebase so you can define service boundaries with confidence.
Learn more →Find cross-package dependency leaks, circular dependencies, shared utility sprawl, and inconsistent patterns across your entire monorepo. Full-codebase review for Nx, Turborepo, and Lerna projects.
Learn more →Find event schema inconsistencies, handler idempotency gaps, dead letter queue mishandling, ordering violations, and saga pattern defects across your entire event-driven codebase.
Learn more →Find cold start bottlenecks, function timeout risks, connection pooling failures, over-permissive IAM policies, and vendor lock-in patterns across your entire serverless codebase.
Learn more →Domain-specific code review for specialised engineering environments.
Find memory management issues, interrupt safety violations, stack overflow risks, and real-time deadline problems across your entire firmware codebase.
Learn more →Find reentrancy vulnerabilities, gas optimisation issues, access control flaws, and upgrade pattern risks across your entire smart contract codebase.
Learn more →Download VibeRails and run your first full-codebase review today.
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