Python app built with Amazon Q Developer? Let’s review it.
Expert code review for Python apps built with Amazon Q Developer. We find Amazon Q Developer-specific bugs, fix Python security issues, and optimize performance. 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.
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.
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.
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.
DynamoDB access patterns generated without consideration for partition key hot spots
Generated DynamoDB table designs and query patterns sometimes use partition keys that distribute poorly under load — such as a status field with few values — creating hot partitions that throttle at scale.
Python issues we check for
Common Python problems that affect production readiness.
Django debug mode in production
DEBUG=True left enabled in production, exposing stack traces, database queries, and configuration to attackers.
Missing CSRF protection
CSRF middleware disabled or bypassed for convenience, allowing cross-site request forgery attacks.
Insecure deserialization
Using pickle or yaml.load with untrusted data, enabling remote code execution.
Slow database queries
ORM queries that generate inefficient SQL, N+1 query patterns, and missing database indexes.
Start with a self-serve audit
Get a professional review 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.
- OWASP Top 10 vulnerability check
- SSL/TLS configuration analysis
- Security header assessment
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerability analysis
- Code quality review
- Dependency audit
- Architecture review
- Expert + AI code analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
Frequently asked questions
Can you review Python code generated by Amazon Q Developer?
Yes. We regularly audit Python projects built with Amazon Q Developer and understand the specific patterns and issues it introduces. Our review covers security, performance, and deployment readiness.
What Python issues does Amazon Q Developer typically create?
Common 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. Combined with Python-specific concerns like django debug mode in production and missing csrf protection.
How do I make my Amazon Q Developer Python project production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For Amazon Q Developer-built Python projects, the typical path is: fix security gaps, address Python-specific performance issues, then configure deployment. We provide a fixed quote after the audit.
How much does it cost to review Amazon Q Developer-generated Python code?
Our code audit starts at $19 and covers security, performance, architecture, and deployment readiness. For fixes, our Fix & Ship plan is $199. Larger projects get a custom fixed quote — no hourly billing or surprises.
Related resources
Amazon Q Developer Services
Need help with your Amazon Q Developer Python project?
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