Built with Pythagora?
Let's make sure it's production-ready.
Pythagora (also known as GPT Pilot) is an AI developer tool that builds applications step-by-step with human oversight at each phase. It produces more deliberate code than fully autonomous tools but can still miss security and performance considerations. We help non-technical founders identify and fix the issues AI tools leave behind.
Common issues we find in Pythagora code
These are real problems we see in Pythagora projects during our audits — not hypotheticals.
Weak input validation
Pythagora validates inputs at the UI level but often skips server-side validation, allowing malicious requests to bypass frontend checks.
Insecure session management
Sessions and tokens are sometimes stored insecurely or don't expire properly, allowing unauthorized access to persist.
Step-by-step accumulation of bugs
Each development step is reviewed individually, but the interaction between steps can introduce bugs that aren't visible in isolation.
Redundant code from iterations
Pythagora's iterative approach sometimes leaves behind old code paths, unused functions, and deprecated approaches from earlier steps.
Unoptimized database schemas
Database schemas evolve through the development process without optimization. Missing indexes, redundant columns, and poor normalization.
Complex deployment dependencies
Pythagora projects accumulate dependencies throughout the build process, some of which are only needed for development or are redundant.
Tests tied to implementation steps
Tests are generated per development step and may not cover the final state of features after subsequent modifications.
Inconsistent architecture between phases
Early phases use one architectural pattern, later phases use another. The result is a codebase with mixed approaches.
How we can help with your Pythagora 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 Pythagora app to production
Refactor Code
Clean up AI-generated or legacy code
Performance
Make your Pythagora app faster and more efficient
Add Features
New functionality, integrations, capabilities
Testing
Add tests and improve coverage
Infrastructure
Set up and manage your Pythagora backend
Start with a self-serve audit
Get a professional review of your Pythagora 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
Is Pythagora code more reliable than fully autonomous AI?
The step-by-step approach with human oversight helps, but it doesn't catch everything — especially cross-step interactions and security concerns that span the full application.
Can you review my Pythagora/GPT Pilot project?
Yes. We look specifically for issues that accumulate across development steps — security gaps, redundant code, and architectural inconsistencies.
How do I clean up my Pythagora codebase?
We remove dead code from earlier iterations, standardize the architecture, and consolidate inconsistent patterns into a clean, maintainable codebase.
Can Pythagora handle deployment?
Pythagora focuses on code generation. Deployment configuration, CI/CD, and production environment setup are separate concerns we handle.
What makes Pythagora different from other AI tools?
Its step-by-step approach gives you more control during development. But the output still needs security review and production hardening like any AI-generated code.
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Get your Pythagora app production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.