Built with Tabnine?
Let's make sure it's production-ready.
Tabnine provides AI code completions trained on your team's codebase. It produces code that matches your existing patterns but can perpetuate existing issues and introduce subtle inconsistencies. We help non-technical founders identify and fix the issues AI tools leave behind.
Common issues we find in Tabnine code
These are real problems we see in Tabnine projects during our audits — not hypotheticals.
Perpetuating existing security flaws
Because Tabnine learns from your codebase, it replicates existing security anti-patterns. If your code has XSS vulnerabilities, Tabnine suggests more of them.
Copying insecure patterns from teammates
Tabnine learns from the entire team's code. One developer's insecure patterns get suggested to everyone, spreading bad practices across the codebase.
Subtle copy-paste errors
Tabnine suggests code similar to existing code, but with small differences that cause bugs — wrong variable names, incorrect conditions, or missing parameters.
Stale patterns from old code
Tabnine suggests patterns from older parts of the codebase, even if the team has since adopted better practices.
Reinforcing performance anti-patterns
If your existing code has performance issues, Tabnine learns and replicates those patterns in new code.
No deployment awareness
Tabnine completes code based on existing patterns without understanding deployment constraints or production requirements.
Test quality mirrors existing tests
If existing tests are weak, Tabnine generates similarly weak tests. The tool can't improve test quality beyond what already exists.
Legacy pattern reinforcement
Tabnine keeps suggesting legacy patterns even as the team tries to modernize. This slows down migration efforts and creates mixed codebases.
How we can help with your Tabnine 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 Tabnine app to production
Refactor Code
Clean up AI-generated or legacy code
Performance
Make your Tabnine app faster and more efficient
Add Features
New functionality, integrations, capabilities
Testing
Add tests and improve coverage
Infrastructure
Set up and manage your Tabnine backend
Start with a self-serve audit
Get a professional review of your Tabnine 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
Does Tabnine make my code more secure?
No — it mirrors your existing code quality. If your codebase has security issues, Tabnine will replicate them. A security audit is important for Tabnine-assisted teams.
Can you audit a team that uses Tabnine?
Yes. We specifically look for anti-patterns that have spread across the codebase through AI-assisted replication. Fixing the root patterns prevents future issues.
Is Tabnine better for privacy than cloud AI tools?
Yes, Tabnine can run locally and doesn't send your code to external servers. But privacy doesn't equal security — the generated code still needs review.
How do I improve what Tabnine suggests?
Improve your existing code first. As you fix patterns and add better examples, Tabnine's suggestions improve over time. We can help establish better baseline patterns.
Should I use Tabnine or switch to Copilot?
Tabnine is better for teams that want privacy and codebase-aware suggestions. Copilot has broader training data. Either way, review the output. We audit both.
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Get your Tabnine app production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.