Performance for your Amazon Q Developer-built SQL app

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

Amazon Q Developer issues we find in SQL projects

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

SQL performance issues we check for

Performance-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 performance covers

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

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

Start with a self-serve audit

Get a professional performance of your Amazon Q Developer 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 Amazon Q Developer 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 performance my Amazon Q Developer-built SQL app?

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

What SQL performance issues does Amazon Q Developer typically create?

Common performance issues in Amazon Q Developer-generated SQL 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 SQL side, we often find: missing indexes on queried columns, select * in production queries, n+1 query patterns.

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

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

Get performance for your Amazon Q Developer SQL app

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

Tell Us About Your App