aws-lambda-php-integration▌
giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026
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Patterns for deploying PHP and Symfony applications on AWS Lambda using the Bref framework.
AWS Lambda PHP Integration
Patterns for deploying PHP and Symfony applications on AWS Lambda using the Bref framework.
Overview
Two approaches available:
- Bref Framework - Standard PHP on Lambda with Symfony support, built-in routing, cold start < 2s
- Raw PHP - Minimal overhead, maximum control, cold start < 500ms
Both support API Gateway integration with production-ready configurations.
When to Use
- Creating new Lambda functions in PHP
- Migrating existing Symfony applications to Lambda
- Optimizing cold start performance
- Configuring API Gateway or SQS/SNS event triggers
- Setting up deployment pipelines for PHP Lambda
Instructions
1. Choose Your Approach
| Approach | Cold Start | Best For | Complexity |
|---|---|---|---|
| Bref | < 2s | Symfony apps, full-featured APIs | Medium |
| Raw PHP | < 500ms | Simple handlers, maximum control | Low |
2. Project Structure
Symfony with Bref Structure
my-symfony-lambda/
├── composer.json
├── serverless.yml
├── public/
│ └── index.php # Lambda entry point
├── src/
│ └── Kernel.php # Symfony Kernel
├── config/
│ ├── bundles.php
│ ├── routes.yaml
│ └── services.yaml
└── templates/
Raw PHP Structure
my-lambda-function/
├── public/
│ └── index.php # Handler entry point
├── composer.json
├── serverless.yml
└── src/
└── Services/
3. Implementation
Symfony with Bref:
// public/index.php
use Bref\Symfony\Bref;
use App\Kernel;
use Symfony\Component\HttpFoundation\Request;
require __DIR__.'/../vendor/autoload.php';
$kernel = new Kernel($_SERVER['APP_ENV'] ?? 'dev', $_SERVER['APP_DEBUG'] ?? true);
$kernel->boot();
$bref = new Bref($kernel);
return $bref->run($event, $context);
Raw PHP Handler:
// public/index.php
use function Bref\Lambda\main;
main(function ($event) {
$path = $event['path'] ?? '/';
$method = $event['httpMethod'] ?? 'GET';
return [
'statusCode' => 200,
'body' => json_encode(['message' => 'Hello from PHP Lambda!'])
];
});
4. Cold Start Optimization
- Lazy loading - Defer heavy services until needed
- Disable unused Symfony features - Turn off validation, annotations
- Optimize composer autoload - Use classmap for production
- Use Bref optimized runtime - Leverage PHP 8.x optimizations
5. Connection Management
// Cache AWS clients at function level
use Aws\DynamoDb\DynamoDbClient;
class DatabaseService
{
private static ?DynamoDbClient $client = null;
public static function getClient(): DynamoDbClient
{
if (self::$client === null) {
self::$client = new DynamoDbClient([
'region' => getenv('AWS_REGION'),
'version' => 'latest'
]);
}
return self::$client;
}
}
Best Practices
Memory and Timeout
- Memory: Start with 512MB for Symfony, 256MB for raw PHP
- Timeout: Symfony 10-30s for cold start buffer, Raw PHP 3-10s typically sufficient
Dependencies
{
"require": {
"php": "^8.2",
"bref/bref": "^2.0",
"symfony/framework-bundle": "^6.0"
},
"config": {
"optimize-autoloader": true,
"preferred-install": "dist"
}
}
Error Handling
try {
$result = processRequest($event);
return [
'statusCode' => 200,
'body' => json_encode($result)
];
} catch (ValidationException $e) {
return [
'statusCode' => 400,
'body' => json_encode(['error' => $e->getMessage()])
];
} catch (Exception $e) {
error_log($e->getMessage());
return [
'statusCode' => 500,
'body' => json_encode(['error' => 'Internal error'])
];
}
Logging
error_log(json_encode([
'level' => 'info',
'message' => 'Request processed',
'request_id' => $context->getAwsRequestId(),
'path' => $event['path'] ?? '/'
]));
Deployment
Serverless Configuration
# serverless.yml
service: symfony-lambda-api
provider:
name: aws
runtime: php-82
memorySize: 512
timeout: 20
package:
individually: true
exclude:
- '**/node_modules/**'
- '**/.git/**'
functions:
api:
handler: public/index.php
events:
- http:
path: /{proxy+}
How to use aws-lambda-php-integration on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add aws-lambda-php-integration
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches aws-lambda-php-integration from GitHub repository giuseppe-trisciuoglio/developer-kit and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate aws-lambda-php-integration. Access the skill through slash commands (e.g., /aws-lambda-php-integration) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★38 reviews- ★★★★★Dhruvi Jain· Dec 24, 2024
Solid pick for teams standardizing on skills: aws-lambda-php-integration is focused, and the summary matches what you get after install.
- ★★★★★Ama Thompson· Dec 16, 2024
We added aws-lambda-php-integration from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ama Robinson· Dec 8, 2024
aws-lambda-php-integration has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Maya Wang· Dec 8, 2024
aws-lambda-php-integration reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kwame Garcia· Nov 27, 2024
aws-lambda-php-integration fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Hana Thomas· Nov 27, 2024
I recommend aws-lambda-php-integration for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Oshnikdeep· Nov 15, 2024
We added aws-lambda-php-integration from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Kwame Thompson· Nov 7, 2024
aws-lambda-php-integration is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Dev Jain· Nov 7, 2024
Solid pick for teams standardizing on skills: aws-lambda-php-integration is focused, and the summary matches what you get after install.
- ★★★★★William Patel· Oct 26, 2024
Keeps context tight: aws-lambda-php-integration is the kind of skill you can hand to a new teammate without a long onboarding doc.
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