Built a blog & cms with Amazon Q Developer?
We'll make it production-ready.
Blog and CMS platforms live or die by their content delivery — fast page loads, proper SEO, and reliable content editing are non-negotiable. AI tools build beautiful blog layouts quickly, but the infrastructure that makes content discoverable and manageable at scale — structured data, image optimization, draft workflows, and editor permissions — needs professional attention before you publish to the world.
Blog & CMS challenges in Amazon Q Developer apps
Building a blog & cms with Amazon Q Developer is a great start — but these challenges need attention before launch.
SEO and metadata management
Every blog post needs unique meta titles, descriptions, Open Graph images, canonical URLs, and structured data for rich search results. AI tools render the post content but skip the metadata layer that determines whether anyone finds it through Google.
Content editing workflow
Writers need drafts, previews, scheduled publishing, and revision history. AI-generated CMS platforms usually offer a basic text input and a publish button — no draft states, no content scheduling, and no way to revert a bad edit.
Image and media handling
Blog images need to be resized, compressed, served in modern formats (WebP/AVIF), and lazy-loaded. AI tools embed full-resolution images directly, which tanks page speed and eats storage. You need an image pipeline, not just an upload button.
Role-based access for authors and editors
Multi-author blogs need permission tiers — authors write, editors approve, admins manage settings. AI-generated auth is all-or-nothing: you're either logged in with full access or you're a reader. Server-side authorization for content operations is almost always missing.
RSS feeds and content distribution
Readers subscribe via RSS, newsletters pull content automatically, and aggregators index your feed. AI tools don't generate RSS feeds, sitemap.xml files, or the API endpoints that content distribution tools depend on.
Performance at scale
A blog with 10 posts loads fine. A blog with 1,000 posts needs pagination, static generation, incremental builds, and caching to stay fast. AI tools build for the demo, not for two years of weekly publishing.
What we check in your Amazon Q Developer blog & cms
Common Amazon Q Developer issues we fix
Beyond blog & cms-specific issues, these are Amazon Q Developer patterns we commonly fix.
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.
Start with a self-serve audit
Get a professional review of your Amazon Q Developer blog & cms 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 I build a blog & cms with Amazon Q Developer?
Amazon Q Developer is a great starting point for a blog & cms. It handles the initial scaffolding well, but blog & cms apps have specific requirements — seo and metadata management and content editing workflow — that need professional attention before launch.
What issues does Amazon Q Developer leave in blog & cms apps?
Common issues 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. For a blog & cms specifically, these issues are compounded by the need for seo and metadata management.
How do I make my Amazon Q Developer blog & cms production-ready?
Start with our code audit ($19) to get a clear picture of what needs fixing. For most Amazon Q Developer-built blog & cms apps, the critical path is: security review, then fixing core flow reliability, then deployment. We provide a fixed quote after the audit.
How much does it cost to fix a Amazon Q Developer-built blog & cms?
Our code audit is $19 and gives you a complete report of issues. Fixes start at $199 with our Fix & Ship plan. For larger blog & cms projects, we provide a custom fixed quote after the audit — no hourly billing.
Get your Amazon Q Developer blog & cms production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.