A while ago, I did a webinar for TypeMock about unit testing legacy code. It’s about why we want to unit test legacy code, the advantages and disadvantages, and it includes some minor live coding using TypeMock’s Isolator tool. You can watch it here: I hope you like it. Let me know what you think!
At a current client, we’re looking to move (most of) our AWS Lambda functions to NestJS. The company has built up an extensive collection of Lambda functions and it’s time to bring some structure and similarity in them. But NestJS is geared towards incoming HTTP calls. This is fine if your Lambda function is behind an API Gateway, but is it possible to use NestJS if your Lambda function should be triggered by SNS events? Uniformity? Those who know me,
I’ve written about Property-Based Testing for .NET previously. It’s a way of writing unit tests with random (but constrained) inputs. This means your tests are run multiple times with different inputs and your code is tested more thoroughly. You might even find bugs you didn’t know were there. As I’m working quite a bit with TypeScript these days, I decided to look into property-based Testing with TypeScript. At my current client, we use Mocha for our unit tests, so let’s
I love Visual Studio Code. I love the Windows Subsystem for Linux (WSL). Ever since I had to do Python development, I use the WSL for almost all of my non-.NET work: PHP, Python, Typescript/Node.js. That means running Visual Studio Code in Windows, but running the program in Linux. Up until now, I was missing one important feature: debugging support. Luckily, there’s an extension now. Previously, I had to “debug” by adding console.log statements everywhere. Needless to say, this is
There are many meetups and events about software development in Belgium, but they’re mainly located in and around bigger cities like Brussels, Antwerp and Ghent. This isn’t always practical for people in Bruges. Which is why we’ve started a group that will organize meetups and events in Bruges. Driving 40 minutes to an hour may not seem like a big deal to some. But doing so on a weekday, with a child that needs to be put to bed, makes
This post was written for the Scalyr blog . You can find the original here . Logs come in a variety of formats and are stored in multiple different locations. Getting insights from all of these logs isn’t a trivial task. Microsoft Log Parser is a tool that helps us extract such information easily, using a SQL-like syntax. It supports many different input and output formats. But it also has some limitations because of its age. Introducing Log Parser According
I recently had to provide some numbers on AWS Lambda cold starts. These aren’t readily available in the AWS console. In fact, I couldn’t find a way anywhere online. There are lots of articles about AWS Lambda cold starts, how to avoid them, but none on how to measure them (without code changes). Here’s at least one way you can list the amount and duration of your cold starts. What Is a Cold Start? AWS Lambda functions are (intended to
I’ve had a longtime theory that TODO comments in code don’t get fixed any time soon. To get some numbers on this, I set out to analyze a set of GitHub repositories. You can read how I researched the lifetime of TODO comments in my previous post. In this post, I’ll look at the numbers. I’ll also talk about some aspects lacking in my research and how I could address them in a next round. An Overview As previously mentioned,
I have had a theory for some time that TODO comments in code remain there (almost) forever. They serve to appease the conscience of the developer, but they mostly are forgotten. But I wanted to prove this with numbers. The Plan I needed a large source of code that I could analyze. And the largest source out there is GitHub. So the idea is quite simple: find TODO comments in GitHub repositories use git blame to find out how long
If you’ve been following this blog for some time, you know I develop software mostly using test-driven development AKA TDD. But while this mostly means unit tests, it shouldn’t be limited to only unit tests. At one of my current clients, we use AWS Lambda functions written in TypeScript. These are (usually) relatively small blocks of code that can be invoked by a HTTP call. The function has a very limited scope of what it can be used for, i.e.