Refactor Code for your Pythagora-built SQL app

Expert refactor code for SQL apps built with Pythagora. We audit Pythagora-generated SQL code for refactor code issues. From $19.

Pythagora issues we find in SQL projects

Problems specific to Pythagora's code generation patterns when building SQL apps.

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.

SQL refactor code issues we check for

Refactor Code-specific SQL problems that need attention before production.

performance

Missing indexes on queried columns

Queries filter and join on columns without indexes, causing full table scans that slow exponentially as data grows.

performance

SELECT * in production queries

Fetching all columns when only a few are needed, wasting bandwidth, memory, and preventing covering index optimizations.

performance

N+1 query patterns

Executing one query per row in a loop instead of a single JOIN or batch query, multiplying database round trips by the number of records.

What our refactor code covers

Everything included when we refactor code your Pythagora SQL project.

Break down Pythagora-generated god components into clean, reusable SQL modules
Eliminate duplicated logic and establish shared utilities across your SQL codebase
Add TypeScript types and improve type safety throughout the SQL project
Restructure Pythagora patterns into idiomatic SQL architecture

Start with a self-serve audit

Get a professional refactor code of your Pythagora SQL project 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.

How it works

Three steps to get your Pythagora SQL app production-ready.

1

Tell us about your app

Share your project details and what you need help with.

2

Expert + AI audit

A human expert assisted by AI reviews your code within 24 hours.

3

Launch with confidence

We fix what needs fixing and stick around to help.

Frequently asked questions

Can you refactor code my Pythagora-built SQL app?

Yes. We regularly handle refactor code for SQL projects built with Pythagora. We understand Pythagora's code patterns and the specific SQL issues they introduce. Our review covers the full stack from frontend to backend.

What SQL refactor code issues does Pythagora typically create?

Common refactor code issues in Pythagora-generated SQL code include: weak input validation, insecure session management, step-by-step accumulation of bugs. On the SQL side, we often find: missing indexes on queried columns, select * in production queries, n+1 query patterns.

How much does refactor code cost for a Pythagora SQL project?

Start with our $19 automated audit to get a prioritized list of issues. For hands-on refactor code work on Pythagora-built SQL projects, we provide a fixed quote after reviewing the audit results. No surprises.

Get refactor code for your Pythagora SQL app

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

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