Built with Supermaven?
Let's make sure it's production-ready.
An ultra-fast AI code completion tool with a 1-million token context window that provides inline completions in any IDE. Known for its speed and ability to understand large codebases from a single context window. We help non-technical founders identify and fix the issues AI tools leave behind.
Common issues we find in Supermaven code
These are real problems we see in Supermaven projects during our audits — not hypotheticals.
Fast completions accepted without review introduce subtle type errors
Supermaven's speed is its core advantage, but it encourages accepting completions quickly. TypeScript type errors, incorrect function signatures, and wrong argument orders frequently slip through when developers tab-accept completions at high speed.
Security-sensitive code patterns completed without security review
In security-critical code paths like authentication, token validation, and database queries, Supermaven's completions can introduce subtle vulnerabilities — such as completing a SQL query without parameterization or missing a signature verification step.
Existing codebase anti-patterns replicated across new files at high velocity
Supermaven learns from your codebase, which means bad patterns — deprecated APIs, insecure functions, or architectural mistakes — get propagated to new code rapidly due to how quickly completions are accepted.
Test completions mirror happy-path structure without edge case coverage
When completing test code, Supermaven tends to replicate the structure of surrounding tests, which often means test completions also omit edge cases, error paths, and boundary conditions that the surrounding tests miss.
Performance-inefficient completions that compile and run but do not scale
Supermaven completes code that is correct but not optimal — for example, completing a nested loop where a map lookup would work, or adding an N+1 query pattern in a data-fetching function that will perform poorly under load.
Import completions that add large unused dependencies to the bundle
Supermaven may complete import statements that add entire libraries when only a single utility function is needed, contributing to bundle bloat that affects load performance in frontend applications.
Deployment configuration files completed with development-mode settings
When completing Dockerfile, CI workflow, or server config files, Supermaven may fill in development-appropriate values — like DEBUG=true or missing health check configurations — that are incorrect for production deployment.
Inconsistent error handling style across functions completed in the same file
Supermaven completes error handling based on the nearest local context, which can result in a mix of thrown exceptions, returned error objects, and ignored errors within the same module.
How we can help with your Supermaven project
From security reviews to deployment, we cover everything you need to go from prototype to production.
Security Review
Deep security analysis and hardening
Fix Bugs
Resolve issues and unexpected behavior
Deploy & Ship
Get your Supermaven app to production
Refactor Code
Clean up AI-generated or legacy code
Performance
Make your Supermaven app faster and more efficient
Add Features
New functionality, integrations, capabilities
Testing
Add tests and improve coverage
Infrastructure
Set up and manage your Supermaven backend
Start with a self-serve audit
Get a professional review of your Supermaven project at a fixed price. Results reviewed by experienced engineers.
Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Get a clear plan
We respond in 24 hours with scope, timeline, and cost.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
How does Supermaven's 1M token context window actually improve completions?
The large context window means Supermaven can include more of your codebase when generating completions — more file context, more type definitions, more usage examples. In practice, this means completions are more likely to use your existing utilities and match your established patterns compared to tools with smaller context windows.
Is Supermaven faster than GitHub Copilot and does the speed difference matter?
Supermaven is measurably faster than Copilot in most benchmarks, with completions appearing before you finish typing rather than after a pause. Whether this matters depends on your workflow — some developers find the speed addictive, while others find that Copilot's slight delay gives them time to consider whether to accept the suggestion.
Does Supermaven work in all IDEs or only VS Code?
Supermaven supports VS Code, JetBrains IDEs, and Neovim via an LSP plugin. The experience is most polished in VS Code, but JetBrains support is functional for IntelliJ, WebStorm, and PyCharm. Check their website for the latest IDE compatibility list as support expands.
How should we review Supermaven completions to avoid introducing bugs?
The biggest risk with fast completion tools is the speed of acceptance. Establish a team norm of pausing on multi-line completions to verify function signatures, type correctness, and security-sensitive paths before accepting. Running TypeScript's type checker and linting on save catches many issues that slip through rapid acceptance.
Does Supermaven train on our private code?
Supermaven's free plan uses code for model improvement. The Pro and Enterprise plans include options to opt out of training data collection. If your codebase contains proprietary business logic or sensitive information, review their privacy policy and use an Enterprise plan with data isolation guarantees.
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