Debugging Tips for Software Engineers

🕵️♀️ How to Learn to Debug Like a Detective Debugging isn’t just a skill — it’s an art. It’s not always about finding a missing semicolon or fixing a typo. Sometimes, it's about tracing the invisible — uncovering why something that “should work”… just doesn’t. 👩💻 Debugging is less about panic and more about process. Here’s how I approach it — like a detective chasing clues 👇 🔍 1. Start with the Symptom, Not the Panic Like a detective at the crime scene — first, observe. What’s happening? What’s supposed to happen? Don't rush into code changes. Understand the problem clearly first. 🧭 2. Reproduce the Bug Consistently If you can’t reproduce it, you can’t fix it. Period. Try to isolate the exact conditions that trigger the issue. 🛠️ 3. Use the Right Tools Here’s my debugging toolbox: -VSCode Debugger  — breakpoints, watch variables, step-throughs -Print Statements — yes, old school but powerful when used strategically -Logs With TimeStamps — add context and sequence -Network Tab(DevTools) — essential for frontend and API debugging -Postman Or Insomnia— testing APIs separately from frontend -Binary Search Debugging — comment out half the code until it breaks or works 🧠 4. Think Like the Code Don’t just read the code. Mentally simulate it. #Ask: - What is the input here? - What path will it take? - Where might it break? - What assumptions am I making? 📌 5. Check the Blame-Free Basics - Are environment variables correct? - Are file paths case-sensitive? - Is the latest code actually deployed? - Did you clear the cache? 🧯 6. Rubber Duck It 🐥 Explaining the issue out loud — even to an imaginary duck — often reveals what you missed. 🧘♂️ 7. Step Away if Needed Frustrated? Take a break. Fresh eyes see bugs faster than tired ones. 💬 Bonus: Bugs don’t lie. But your assumptions might. Every bug is just code behaving exactly as you told it to. Your job is to figure out where you were misunderstood. #OnePercentPlusDaily #Debugging #SoftwareEngineering

"Function calling isn’t working." "My Search tool is broken." "The agent isn't doing what I expect with BigQuery." Sound familiar? When a tool fails in an AI agent, the instinct is often to blame the framework 😁 And while we love (!) the feedback, as I get into the weeds with customers, we often find the issue hiding somewhere else. So it becomes important to start seeing the agent and its tools as a layer cake and apply classic software engineering discipline: isolate the failure by debugging layer by layer. Here’s the 4-layer framework for debugging tool-use with agents, and how to use adk web to do it: 1️⃣ The Tool Layer: Does your tool's code work in isolation? Before you even look at a trace, run your function with a hardcoded input. If it fails here, it's a bug in your tool's logic. 2️⃣ The Model Layer: Is the LLM generating the correct intent? This is where traces are invaluable. In adk web, look at the trace for the step right before the tool call. You can see the exact prompt sent to the model and the raw LLM output. Is the model choosing the right tool? Are the parameters plausible? If not, the issue is your prompt or tool description. 3️⃣ The Connection Layer: This is where the model's request meets your code. Is there a mismatch? Use adk web to check the exact arguments the LLM tried to pass to your function. Are the parameter names correct? Is a number being passed as a string? The trace makes it obvious if the LLM's understanding doesn't match your function's signature. 4️⃣ The Framework Layer: If the first three layers look good, now we look at the orchestration. How did the agent handle the tool's output? Use adk web to check the full trace is the story of your agent's execution. You can see the data returned by the tool and the subsequent LLM call where the agent decides what to do next. This is where you'll spot issues in your agent's logic flow. This methodical approach, powered by observability tools like traces, turns a vague "my agent is broken" into a more precise diagnosis. How do you debug your agents tool-use? Comment below if a deep dive into any of these area would be useful! #AI #Agents #Gemini #DeveloperTools #FunctionCalling #Debugging #Observability

Stuck on a coding problem? Here’s how top engineers actually solve them. Whether you’re prepping for interviews or building real-world systems, it’s not just about writing code — it’s about solving problems intelligently. Here’s a 10-step mindset that transforms debugging into breakthroughs: 1. Understand the problem Restate it in your own words. Clarity first, code later. 2. Work through examples by hand Manual tracing helps uncover hidden logic. 3. Break it down Small steps → Simple code → Fewer bugs. 4. Pick the right approach Map it to known algorithms or problem patterns (greedy, sliding window, recursion, etc.) 5. Write pseudocode first Your thinking should be clear before your syntax is. 6. Code in chunks Build incrementally and test as you go. It’s okay, the random print statements are always going to help (just comment them out after ;)) 7. Test edge cases Empty inputs, large datasets, invalid values — test for chaos. 8. Optimize after it works First, get it working. Then, make it elegant and efficient. 9. Stay calm when stuck Take a break. Talk it out LOUD. Google concepts, not answers. Still doesn’t work? Try to get at least one test case. 10. Reflect after solving Ask: What did I learn? What pattern was this? Could I solve it faster next time? ⸻ 💬 Real talk: Being a good coder isn’t about avoiding bugs but about knowing how to find your way out of them.

Debugging Vue apps is easy… when you know where to look. But most developers waste hours chasing the wrong issues. Here’s your go-to guide for debugging Vue like a pro: ⸻ ☑ Top Tools to Keep in Your Debugging Toolkit → Vue Devtools Inspect component hierarchy, state, Vuex, routing, and events Pro Tip: Use time-travel debugging to trace state changes step-by-step → Browser DevTools (Chrome/Firefox) Console, Network, and Performance tabs are your best friends → ESLint + Vetur or Volar Catch errors before they break your app with real-time linting in VS Code → Vue CLI or Vite Error overlays + source maps for smoother debugging → Enable Source Maps Never chase errors in minified code again ⸻ ☑ Debugging Techniques That Actually Work → Console Logs with Tags Quickly track prop changes, lifecycle behavior, and async results → Breakpoints & Step Debugging Pause execution and inspect your component’s lifecycle in real time → Watch Reactivity Use watch and computed to track data flow—avoid anti-patterns like prop mutation → Global Error Handling Use errorCaptured or config.errorHandler to catch issues across the app → Unit Testing Validate components with Jest or Vitest → Network Debugging Track API behavior with Axios interceptors + custom error UIs → Performance Profiling Spot slow renders and optimize lifecycle-heavy components → Feature Flags Use process.env variables to enable or suppress logs in different environments ⸻ Know a dev who needs this? Repost to help them debug smarter.

One of my fairly embarrassing intern memories involves very confidently telling my manager that I knew how to use print statements when asked if I knew how to debug. My manager smiled kindly and proceeded to teach me how to use breakpoints. I think she was looking for a more sophisticated answer than print statements. IDEs today offer many ways to debug your applications, but before I walk you through those, you might wonder why you should look past print statements. They seem to serve the purpose pretty well. Say you're debugging. Like we all do, you sprinkle a bunch of print statements in your app. You let it do its thing, but it takes so much time, and while the relevant variables are being printed to the console, you're questioning their values. customer_name shouldn't equal None. It should equal 'ABC.' You find yourself adding increasingly more print statements. If only there were a way to inspect variable values without the hassle of print statements. Well, there is! Let me walk you through them: 1. Breakpoints In general, breakpoints in an IDE allow you to stop the code at specific lines to inspect values, monitor the flow, and understand the current state. Conditional breakpoints only stop execution if certain criteria are met, allowing you to narrow down specific scenarios without manually filtering them out. For instance, you could set a conditional breakpoint in a loop to stop only when x exceeds 100. With Exception Breakpoints, you can tell your IDE to automatically pause execution whenever a specified type of exception is thrown, allowing you to inspect the state of the code. 2. Step Controls: Step Into, Step Over, Step Out One of the most powerful ways to debug complex functions is by walking through your code line-by-line, using Step Controls: Step Over: Runs the current line of code and moves to the next without diving into method calls. This is ideal when you don't need to see the internals of a called function. Step Into: Enters the function being called, allowing you to explore its workings. Perfect for when you're curious about what's happening within a specific method or want to trace the logic step-by-step. Step Out: Completes the current function's execution and returns to the calling function, which is useful for exiting deeper code and resuming inspection at a higher level. 3. Watches Print statements can tell you a variable's value at a specific time, but watches in an IDE offer real-time, ongoing monitoring of variables as your code executes, showing you changes dynamically at each step. Reading through all these options might feel overwhelming (this isn't an exhaustive list, btw), but you're just a YouTube search away from taking your debugging abilities to the next level. Learn how to debug - it's worth the investment. ---------- Looking for mentorship? Check out my profile or message me directly to discuss how I can help you reach your goals. #softwareengineering #careers

I wish more software engineers knew about my favorite debugging method, bisection. I usually call it the "cut it in half" approach. As an aside, I seem to recall learning it when in college and using it as a method to identify shorts in an electrical circuit. It's probably best understood by example: "The user says that the system doesn't save their new email address." What all is involved in this flow? - the UI - their browser - the networking (the Internet) between their client and our servers - the web server and its cache - the application itself and its cache - the database that's backing it - the email service where a confirmation gets sent That's potentially a lot of things where something can be broken. So where do you start looking? The "cut in half" method says find the midpoint and validate the system on either side of that midpoint. So start at the web server. Is the request coming in? It's not super flashy, and it works very, very well.

Debugging Like a Pro: 5 tricks for Finding and Fixing Bugs Faster Every software engineer spends a significant chunk of their time debugging. While it can be frustrating, approaching it systematically can make all the difference. Here are five principles that help me debug effectively: 1️⃣ First Principles Thinking Instead of relying on assumptions, break the problem down to its fundamentals. What exactly is happening? What should be happening? Is there an underlying principle (e.g., data flow, memory allocation) being violated? 2️⃣ Check the Basics Is the server running? Are the configurations correct? Is there a typo in the variable name? Some of the hardest-to-find bugs come from the simplest mistakes. Always verify the basics before diving deep. 3️⃣ Reproduce It Consistently If you can’t reproduce a bug reliably, you can’t fix it effectively. Identify the exact steps or conditions that trigger the issue—this makes debugging structured rather than a guessing game. 4️⃣ Read the Error Messages Error messages often tell you exactly what’s wrong—if you take the time to understand them. Instead of ignoring or Googling blindly, break down what the message is saying and investigate from there. 5️⃣ Identify if It's a Device or Data-Specific Issue Is the bug happening on all devices or just one? Does it occur with all data inputs or only specific ones? Debugging becomes much easier once you determine whether the issue is related to environment constraints (e.g., OS, browser, hardware) or specific data conditions. Debugging is a skill, and like any skill, it gets better with practice. What are your favorite debugging techniques? Drop them in the comments! #Debugging #SoftwareEngineering #ProblemSolving #FirstPrinciples

Debugging isn’t magic, it’s the number one repeatable skill fresh grads skip. Here’s a 5-step plan for you! You write code, everything seems fine in dev, yet things break in staging or production. What if you had a checklist that transformed you from wandering blindly into methodical problem-solving? 1️⃣ Start with reproduction: can you trigger the bug consistently, under known conditions? 2️⃣ Then ask what changed recently: dependencies, config, data? 3️⃣ Move on to environment: inputs/outputs, system logs and side-effects. A good checklist helps you trace from symptom to root. 4️⃣ Next steps: isolate the scope (divide and conquer), add logging or instrumentation, use binary-search style narrowing down of code paths. 5️⃣ After fix, validate with tests then document the incident: what happened, why, how you solved it. That turns one bug into a learning asset. This week pick a bug (even small) and follow this full flow: Reproduce → Trace → Fix → Validate → Document Do it twice. You’ll start debugging like a pro! Check the comments for some resources.

𝗚𝗲𝘁𝘁𝗶𝗻𝗴 𝗕𝗲𝘁𝘁𝗲𝗿 𝗮𝘁 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 🅻🅴🆂🆂🅾🅽 7/10 𝗠𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗲 𝗔𝗿𝘁 𝗼𝗳 𝗗𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴 Always design your projects or programs to be debug-ready. Include extra code for appropriate logging at key points in your application. For example, you can log the values of all parameters when entering a function and the return value when leaving it, especially in a debug version of your code. Additionally, incorporate robust parameter validation and ensure meaningful return values for different failure scenarios. This approach makes it easier to identify bugs simply by reviewing the debug logs, saving time and effort during troubleshooting. Debugging is an essential skill for every programmer. Here are a few ways to improve your debugging game: 𝗨𝘀𝗲 𝗱𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴 𝘁𝗼𝗼𝗹𝘀: Tools like GDB, IDE debuggers, or even good old logging can save hours of frustration.  𝗕𝗿𝗲𝗮𝗸 𝗱𝗼𝘄𝗻 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝘀𝘁𝗲𝗽 𝗯𝘆 𝘀𝘁𝗲𝗽: Bugs are like hidden treasures—except they don’t feel like it at first! Learn to approach them systematically. 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝘆 𝘄𝗵𝗲𝗿𝗲 𝘆𝗼𝘂𝗿 𝗰𝗼𝗱𝗲 𝗱𝗲𝘃𝗶𝗮𝘁𝗲𝘀 𝗳𝗿𝗼𝗺 𝗲𝘅𝗽𝗲𝗰𝘁𝗮𝘁𝗶𝗼𝗻𝘀: Always ask: “What should happen?” versus “What’s actually happening?” Many developers grow frustrated with bugs, but debugging is where real learning happens. Debugging teaches you to think like a detective—analysing clues, forming hypotheses, and testing solutions. With practice, you’ll not only find bugs faster but also write code that’s less likely to break in the first place. 💡 𝗣𝗿𝗼 𝗧𝗶𝗽: Always take a break if you're stuck for too long. A fresh perspective often reveals the solution. 𝘐𝘧 𝘺𝘰𝘶 𝘧𝘰𝘶𝘯𝘥 𝘵𝘩𝘪𝘴 𝘱𝘰𝘴𝘵 𝘳𝘦𝘭𝘦𝘷𝘢𝘯𝘵, 𝘪𝘯𝘵𝘦𝘳𝘦𝘴𝘵𝘪𝘯𝘨, 𝘰𝘳 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘷𝘦, 𝘧𝘦𝘦𝘭 𝘧𝘳𝘦𝘦 𝘵𝘰 𝘴𝘩𝘢𝘳𝘦 𝘰𝘳 𝘳𝘦𝘱𝘰𝘴𝘵 𝘪𝘵 𝘸𝘪𝘵𝘩 𝘺𝘰𝘶𝘳 𝘧𝘰𝘭𝘭𝘰𝘸𝘦𝘳𝘴 𝘵𝘰 𝘩𝘦𝘭𝘱 𝘪𝘵 𝘳𝘦𝘢𝘤𝘩 𝘵𝘩𝘦 𝘳𝘪𝘨𝘩𝘵 𝘢𝘶𝘥𝘪𝘦𝘯𝘤𝘦. #Students #CS #ComputerScience #Programming #SelfImprovement #Learning #Knowledge #Debugging