What is FinishKit?
FinishKit is the production readiness platform for web apps. It analyzes your codebase, generates a prioritized Finish Plan, and tracks your progress toward launch.
FinishKit is the production readiness platform for web apps. It analyzes your codebase across eight dimensions of production readiness, generates a prioritized Finish Plan of everything blocking your launch, and tracks your progress as you fix issues.
FinishKit doesn't change your code. It reads it, analyzes it, and tells you exactly what to fix. You stay in control.
Who is this for?
FinishKit works for anyone shipping a web app:
- Solo developers and indie hackers who built with AI tools (Cursor, Lovable, Bolt, Replit, v0, Windsurf) and want to ship confidently
- Professional teams preparing for launch, compliance reviews, or production hardening
- Startups that need to know their app is production-ready before putting it in front of users
Whether you wrote every line yourself or an AI generated most of it, FinishKit checks the same things.
How it works
FinishKit offers two analysis paths:
From the dashboard (cloud scan): Connect your GitHub repo, run a scan, and get your Finish Plan. FinishKit clones your code to secure infrastructure, runs multi-pass LLM analysis, and returns findings.
From your editor (local analysis): Use the FinishKit MCP server or SDK to request an Intelligence Pack tailored to your stack. Your AI editor analyzes the code locally using the pack, then syncs findings to your dashboard. Your code never leaves your machine.
Both paths produce the same structured findings and feed into the same dashboard.
What does FinishKit check?
FinishKit evaluates your app across eight production readiness dimensions:
| Dimension | What it covers |
|---|---|
| Security | Auth, secrets management, injection attacks, access control |
| Error Handling | Exception handling, error recovery, user-facing error messages |
| Logging | Observability, structured logging, health checks, error tracking |
| Environment | Env var management, configuration, secrets separation |
| Database | Schema design, migrations, connection pooling, row-level security |
| Performance | Caching, rate limiting, bundle size, query efficiency |
| Deployment | CI/CD, rollback strategy, dependency pinning, smoke tests |
| Vibe Code | Placeholder copy, default branding, stubbed handlers, mock data, dead scaffolding, and other "AI built 80%, left 20% unfinished" artifacts |
Findings are also grouped into triage categories (Blockers, Security, Deploy, Stability, Tests, UI) and prioritized by severity (critical, high, medium, low) so you know what to fix first.
Key features
- Finish Plan: A prioritized list of everything standing between your app and production
- Production Readiness Score: A 0-100 score across all eight dimensions, with per-dimension breakdowns
- Intelligence Packs: Stack-specific analysis context for local scanning (code stays on your machine)
- AI-generated patches: Diff-based fixes you can review and apply
- FinishKit Watch: Continuous monitoring that re-analyzes your code when you push changes