Performance for your Amazon Q Developer app
AI-generated code prioritizes getting things working over getting them fast. Unnecessary re-renders, unoptimized queries, missing caching, and bloated bundles all add up. We profile your app, identify the real bottlenecks, and fix them — often achieving dramatic improvements. We specialize in Amazon Q Developer projects and know exactly what to look for.
Performance issues we find in Amazon Q Developer apps
These are real performance problems we see in Amazon Q Developer projects during our audits.
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.
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.
What our performance covers
Everything included when we performance your Amazon Q Developer project.
Page load speed
Bundle size optimization, code splitting, image optimization, and reducing time to first meaningful paint.
Runtime performance
Eliminating unnecessary re-renders, optimizing state management, and fixing memory leaks.
Database optimization
Query optimization, adding indexes, implementing pagination, and eliminating N+1 queries.
API response times
Caching strategies, response compression, connection pooling, and reducing round trips.
Core Web Vitals
LCP, FID, and CLS optimization for better user experience and search rankings.
Caching strategy
Browser caching, CDN configuration, server-side caching, and cache invalidation.
Start with a self-serve audit
Get a professional performance of your Amazon Q Developer 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 performance a Amazon Q Developer app?
Yes. We work with Amazon Q Developer projects regularly and understand the specific patterns it produces. Our performance service is tailored to address the issues common in Amazon Q Developer-generated code.
What performance issues are specific to Amazon Q Developer?
Common performance issues in Amazon Q Developer apps include: lambda cold start latency not addressed in generated function configurations, dynamodb access patterns generated without consideration for partition key hot spots. We identify and fix all of these.
How long does a performance take for a Amazon Q Developer project?
Typically 2-5 business days depending on codebase size. Start with our code audit ($19) to get a clear picture of what needs attention, then we'll scope the performance work with a fixed quote.
Do I need a code audit before performance for my Amazon Q Developer app?
We recommend it. The audit ($19) gives us a complete picture of your Amazon Q Developer project's issues so we can scope the performance work accurately. You get a prioritized report and a fixed quote with no surprises.
Get performance for your Amazon Q Developer app
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.