Pythagora + Internal Tool

Built a internal tool with Pythagora?
We'll make it production-ready.

Internal tools don't face the public internet, but they often have access to sensitive business data — customer records, financial data, operational metrics. AI tools build internal dashboards quickly, but the security bar is still high because a compromised internal tool can expose your entire business.

Node.jsReactPythonMongoDBPostgreSQL

Internal Tool challenges in Pythagora apps

Building a internal tool with Pythagora is a great start — but these challenges need attention before launch.

Access control

Who can see what? Internal tools need role-based access — finance sees revenue data, support sees customer data, engineering sees system metrics. AI tools build the dashboard but rarely implement granular permissions.

Data sensitivity

Internal tools often connect directly to production databases. A bug that deletes records or a missing auth check that exposes customer PII can have serious legal and business consequences.

Network security

Internal tools should be behind a VPN or protected network, not on the public internet. AI tools deploy to public URLs by default. Proper network configuration prevents external access.

Audit logging

When someone modifies data through an internal tool, you need to know who did what and when. This is essential for debugging, compliance, and accountability.

Data mutations

Internal tools often write to production databases — updating orders, modifying user accounts, issuing refunds. These operations need confirmation dialogs, validation, and audit trails to prevent costly mistakes.

What we check in your Pythagora internal tool

Access control — role-based permissions enforced server-side
Database security — read-only where possible, protected write operations
Network configuration — not publicly accessible, VPN or auth gateway
Audit logging — who did what, when
Data validation — confirmation for destructive operations
Authentication — SSO or secure login for all team members
Error handling — graceful failures that don't expose internal data

Common Pythagora issues we fix

Beyond internal tool-specific issues, these are Pythagora patterns we commonly fix.

highSecurity

Weak input validation

Pythagora validates inputs at the UI level but often skips server-side validation, allowing malicious requests to bypass frontend checks.

highSecurity

Insecure session management

Sessions and tokens are sometimes stored insecurely or don't expire properly, allowing unauthorized access to persist.

mediumBugs

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.

lowCode Quality

Redundant code from iterations

Pythagora's iterative approach sometimes leaves behind old code paths, unused functions, and deprecated approaches from earlier steps.

Start with a self-serve audit

Get a professional review of your Pythagora internal tool at a fixed price.

External Security Scan

Black-box review of your public-facing app. No code access needed.

$19
  • OWASP Top 10 vulnerability check
  • SSL/TLS configuration analysis
  • Security header assessment
  • Expert review within 24h
Get Started

Code Audit

In-depth review of your source code for security, quality, and best practices.

$19
  • Security vulnerability analysis
  • Code quality review
  • Dependency audit
  • Architecture review
  • Expert + AI code analysis
Get Started
Best Value

Complete Bundle

Both scans in one package with cross-referenced findings.

$29$38
  • Everything in both products
  • Cross-referenced findings
  • Unified action plan
Get Started

100% credited toward any paid service. Start with an audit, then let us fix what we find.

Frequently asked questions

Can I build a internal tool with Pythagora?

Pythagora is a great starting point for a internal tool. It handles the initial scaffolding well, but internal tools have specific requirements — access control and data sensitivity — that need professional attention before launch.

What issues does Pythagora leave in internal tools?

Common issues include: weak input validation, insecure session management, step-by-step accumulation of bugs. For a internal tool specifically, these issues are compounded by the need for access control.

How do I make my Pythagora internal tool production-ready?

Start with our code audit ($19) to get a clear picture of what needs fixing. For most Pythagora-built internal tools, the critical path is: security review, then fixing core flow reliability, then deployment. We provide a fixed quote after the audit.

How much does it cost to fix a Pythagora-built internal tool?

Our code audit is $19 and gives you a complete report of issues. Fixes start at $199 with our Fix & Ship plan. For larger internal tool projects, we provide a custom fixed quote after the audit — no hourly billing.

Get your Pythagora internal tool production-ready

Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.

Tell Us About Your App