Testing for your Sourcegraph Cody-built Python app

Expert testing for Python apps built with Sourcegraph Cody. We audit Sourcegraph Cody-generated Python code for testing issues. From $19.

Sourcegraph Cody issues we find in Python projects

Problems specific to Sourcegraph Cody's code generation patterns when building Python apps.

highCode Quality

Suggestions based on deprecated or low-quality code patterns found in the existing codebase

Cody's suggestions are grounded in your actual codebase, which means if the codebase contains outdated patterns, deprecated library usage, or known-bad code, Cody will suggest those same patterns in new code — amplifying technical debt.

highSecurity

Cross-repo context can leak patterns from one team's code into another team's service

In large organizations where Cody indexes multiple repositories, suggestions can carry patterns from one team's codebase into another, introducing unfamiliar dependencies, different error handling conventions, or architectural approaches that do not belong in the target service.

mediumSecurity

Security vulnerabilities in existing code recommended as reference implementations

If the indexed codebase contains known security issues that have not yet been patched — unparameterized queries, missing auth checks, insecure deserialization — Cody may suggest these patterns as examples when generating similar code.

Python testing issues we check for

Testing-specific Python problems that need attention before production.

security

Django debug mode in production

DEBUG=True left enabled in production, exposing stack traces, database queries, and configuration to attackers.

security

Missing CSRF protection

CSRF middleware disabled or bypassed for convenience, allowing cross-site request forgery attacks.

security

Insecure deserialization

Using pickle or yaml.load with untrusted data, enabling remote code execution.

What our testing covers

Everything included when we testing your Sourcegraph Cody Python project.

Add unit tests for critical business logic in your Sourcegraph Cody Python app
Write component tests covering user interactions and edge cases in Python
Set up integration tests for API endpoints and database operations
Configure test infrastructure with CI integration for your Python project

Start with a self-serve audit

Get a professional testing of your Sourcegraph Cody Python 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 Sourcegraph Cody Python 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 testing my Sourcegraph Cody-built Python app?

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

What Python testing issues does Sourcegraph Cody typically create?

Common testing issues in Sourcegraph Cody-generated Python code include: suggestions based on deprecated or low-quality code patterns found in the existing codebase, cross-repo context can leak patterns from one team's code into another team's service, security vulnerabilities in existing code recommended as reference implementations. On the Python side, we often find: django debug mode in production, missing csrf protection, insecure deserialization.

How much does testing cost for a Sourcegraph Cody Python project?

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

Get testing for your Sourcegraph Cody Python app

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

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