Performance for your Amazon Q Developer-built Python app

Expert performance for Python apps built with Amazon Q Developer. We audit Amazon Q Developer-generated Python code for performance 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 performance issues we check for

Performance-specific Python problems that need attention before production.

performance

Slow database queries

ORM queries that generate inefficient SQL, N+1 query patterns, and missing database indexes.

performance

Synchronous blocking in async frameworks

Calling synchronous operations inside async FastAPI endpoints, blocking the entire event loop.

What our performance covers

Everything included when we performance your Amazon Q Developer Python project.

Profile and eliminate unnecessary re-renders in your Amazon Q Developer Python app
Optimize Python bundle size with code splitting and tree shaking
Improve database query performance and add caching to your Python backend
Fix Core Web Vitals and page load speed for your Amazon Q Developer-built Python project

Start with a self-serve audit

Get a professional performance 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 performance my Amazon Q Developer-built Python app?

Yes. We regularly handle performance 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 performance issues does Amazon Q Developer typically create?

Common performance 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: slow database queries, synchronous blocking in async frameworks.

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

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

Get performance 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