Tips for Speeding Up Lambda Function Debugging

If you want faster feedback, write unit tests for your function first. You'll find that having a set of proper tests in place can save you a lot of hassle when deploying. Also, tools like SAM allow you to invoke Lambdas locally, so don't overlook that as an option!

For local development, you might want to consider using Docker alongside VS Code's AWS tools extension. Set your environment variables and create a test script to execute your Lambda code directly. It really minimizes the wait time and lets you debug in real time!

One trick is to separate your business logic from the Lambda handling code. Write the logic as a standalone function that can accept the input you'd normally get from a Lambda request. This way, you can test your business logic independently and even run it locally, which can save you tons of time during debugging.

Have you tried separating out AWS dependencies in your code? There are libraries like Moto for Python, which allows you to mock AWS services for testing. It may help if there's a TypeScript equivalent to achieve similar outcomes.

Definitely try enabling the --hotswap option with your CDK deploy command. If there aren't resources blocking it, it'll speed things up significantly. Additionally, check out tools like lambda-live-debugger, which lets you execute the function locally. It’s not an all-in-one solution, but it helps during initial tests. Also, setting up integration tests can be a game changer!