Testing for your Amazon Q Developer-built Python app

Expert testing for Python apps built with Amazon Q Developer. We audit Amazon Q Developer-generated Python code for testing issues. From $19.

Amazon Q Developer issues we find in Python projects

Problems specific to Amazon Q Developer's code generation patterns when building Python apps.

highSecurity

Overly permissive IAM policies generated with wildcard actions and resources

Amazon Q often generates IAM policies with `*` wildcards for actions or resources as a starting point, which violates the principle of least privilege. These policies should be scoped to specific actions and resource ARNs before being applied in production.

highPerformance

Lambda cold start latency not addressed in generated function configurations

Generated Lambda functions use default memory and timeout settings without considering cold start impact. Functions with heavy initialization code (loading models, establishing DB connections) need provisioned concurrency or memory tuning, which Amazon Q does not configure.

mediumDeployment

Generated CDK code creates AWS resources without cost estimation or tagging

Amazon Q CDK suggestions deploy resources without cost-tracking tags or budget guardrails, making it easy to inadvertently provision expensive resources (NAT gateways, multi-AZ RDS instances) without visibility into the cost impact.

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 Amazon Q Developer Python project.

Add unit tests for critical business logic in your Amazon Q Developer 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 Amazon Q Developer 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 Amazon Q Developer 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 Amazon Q Developer-built Python app?

Yes. We regularly handle testing for Python projects built with Amazon Q Developer. We understand Amazon Q Developer'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 Amazon Q Developer typically create?

Common testing issues in Amazon Q Developer-generated Python code include: overly permissive iam policies generated with wildcard actions and resources, lambda cold start latency not addressed in generated function configurations, generated cdk code creates aws resources without cost estimation or tagging. On the Python side, we often find: django debug mode in production, missing csrf protection, insecure deserialization.

How much does testing cost for a Amazon Q Developer Python project?

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

Get testing for your Amazon Q Developer Python app

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

Tell Us About Your App