Debugging can be a challenging task for any programmer, and PHP developers are no exception. With the complexity of web applications and the ever-increasing demands on software development, debugging PHP code can be a time-consuming process. But what if there was a way to streamline the debugging process and make it more efficient and effective?
Debugging APIs can be a challenge for any developer dealing with REST APIs. Trying to create an exact API request, especially for highly complex requests with large bodies and multiple headers, is essential but also tough to do. By using a tool like Postman to create a request for debugging and API testing purposes, you can easily replay an API request with the exact configuration of the original request.
Real Device Cloud error and crash reporting can help you find the root cause of errors faster and inspire greater confidence in your mobile app’s performance.
Once, your users may have forgiven a bug in your app. Today, they likely won’t. Today’s consumers, many of them Gen-Zers who’ve been using gadgets since they learned their hands, expect a mobile experience that’s swift, seamless and secure. And with page speeds increasing all the time, lags and snags are no longer acceptable. Which means our apps need to glitch-free right out of the gate.
Unlike traditional debugging tools, which can be complex and require specific knowledge of the programming language, ChatGPT is accessible to programmers of all levels and works in any language. Simply ask ChatGPT specific questions about error messages or unexpected behavior and you’ll get a reply with relevant information that can help you identify and fix the issue.
Developers will remember times when they were trying to figure out why something they were working on wasn’t behaving as expected. Hours of frustration, too much (or perhaps never enough) caffeine consumed, and sotto voce curses uttered. And then — as if by fate — the issue is narrowed down to a simple oversight that makes perfect sense upon discovery. Problem solved!
In part one of this series, the debugging tools we used — Elixir's IO.inspect/2, IEx.pry, and dbg/2 — required us to insert changes into code directly. Outside the development environment, you probably won't (and shouldn't) have access to your code. Erlang has a few tools to debug code at runtime: :debugger, :dbg.tracer, and :observer. First, let's look at the:debugger, a graphical debugging tool. Let's get going!
As an application developer, have you ever had to troubleshoot an issue that only happens in production? Bugs can occur when your application gets released into the wild, and they can be extremely difficult to debug when you cannot reproduce without production data. In this blog, I am going to show you how to safely send your production data to development applications deployed using a service mesh to help you better debug and build production proof releases.
Welcome to part one of this two-part series on debugging in Elixir and Erlang. In this post, we'll use several different tools and techniques to debug Elixir code. First, we'll get to know the demo project I created to showcase certain tools: dist_messenger. It's an Elixir project of a distributed messaging system that can be used directly on IEx. It allows users in different nodes to send and receive messages to each other.
