Bug Tracking and Resolution

From 15 to 50 bugs 🐞 are introduced every 1000 lines of code Fixing bugs takes at least 30 minutes longer than writing a line of code ⏳ How do you deal with this daunting reality? Let me give you my take on it. First, we must accept that no matter what we do, some bugs will be made into production. That's inevitable. That's why it's mindful of having a strategy to prevent and deal with bugs. Two key parts teams have to find adequate answers: 1. Preventing Bugs: Setting a strategy to reduce bugs getting into production drastically 2. Dealing with Bugs: Tactic to report bugs and use tools (e.g. Jam.dev) to accelerate bugs resolutions Now, let’s go into more detail on how to nail these parts. 1. Preventing Bugs The higher the test coverage, the more bugs you prevent. Yet, that's a double-edged sword. High test coverage comes with a cost, which you need to be aware of that. I've been in teams with a zero-bugs policy. As a result, software engineers continuously worked to increase test coverage and would drop whatever they were working on to fix bugs. That didn't help us improve the value created. On the contrary, it slowed us down. Some learnings from me: - 80%+ of test coverage is good enough - Production environment replica helps you run real-world tests and prevent undesired surprises - Structured code review sets a minimum bar for code quality 2. Dealing with bugs Some unpleasant and annoying bugs will get to your product. A bad decision is dealing with them on the fly. Someone reports the bug, and software engineers start debugging to find something. That's a poor use of their time, and fixing the bug will be unnecessarily long. The more information related to your bug, the quicker a software engineer can fix it. In the past, screenshots and devices were good enough, but now we're better equipped than that. You can use tools like Jam.dev to gather more information to accelerate troubleshooting and help developers act directly on the problem source. Better yet, it's a free Chrome extension. Critical parts to dealing with bugs: - Don't put all bugs in the same bucket. Understand how many users are impacted and how critical the impact is - Avoid interrupting software engineers if you lack information about the bug - Use tools like Jam.dev to gather relevant information to accelerate bug fixing Key Takeaways . Bugs are normal. Don't panic when you face them . Having a sustainable balance between test coverage and a sound strategy to deal with bugs will help you balance software quality and value creation . Zero bug policy dramatically reduces value creation Let's learn from each other. How do you prevent and deal with bugs? Have a lovely day, David

🔍 Debugging Microservices: How We Cut Resolution Time by 80% Here's our game-changing observability pattern: // Before: Console.log everywhere 😅 console.log('Payment processing...', data); console.log('Payment result:', result); // After: Structured Context Tracking 🚀 const ctx = new Context({ traceId: randomUUID(), service: 'payment', customer: customerId }); ctx.log('processing', { amount, currency }); ctx.error('failed', { code, retryCount }); ⚡️ The Magic Sauce: // Unified error boundary class ServiceError extends Error { constructor( message: string, public context: { service: string; operation: string; metadata: Record<string, unknown>; } ) { super(message); } } // Usage in API routes try { await processPayment(order); } catch (error) { throw new ServiceError('Payment failed', { service: 'payment', operation: 'process', metadata: { orderId: order.id, attempt: retry.count } }); } 📊 Key Metrics We Track: - Service dependencies - Error frequencies - Latency patterns - Resource utilization 🎯 Results: - 80% faster debugging - 60% reduction in MTTR - Zero blind spots - Real-time alerts 💡 Pro Tip: Log the context, not just the error. Future you will thank present you. 🔑 Implementation Steps: 1. Unified error schema 2. Context propagation 3. Correlation IDs 4. Centralized logging 5. Real-time dashboards #Microservices #DevOps #Debugging #SRE #CloudNative

A PM's Guide to Effective Bug Tracking As a product manager, bugs are inevitable. But how you manage them can make or break your product’s success. Here’s a simple guide to stay on top of bug tracking: ➡️ Set Up a Clear Process: Define how bugs are reported, categorized, and prioritized. Use tools like Jira, Trello, or Asana to keep it streamlined. ➡️ Prioritize Smartly: Not all bugs are created equal. Focus on critical ones that impact functionality or user experience. ➡️ Involve the Right People: Collaborate with developers, QA, and designers to understand the root cause and brainstorm solutions. ➡️ Track Progress: Regularly review the status of bugs. Ensure there’s accountability and that deadlines are realistic. ➡️ Close the Loop: Once resolved, communicate with stakeholders and celebrate the win with your team. Transparency builds trust. Remember: A great PM doesn’t just fix bugs—they create systems to minimize them in the future. What’s your go-to tool or process for bug tracking? Share it in the comments below! Let’s learn from each other. PS: The key to bug tracking? Patience, precision, and prioritization. Keep the momentum going. #productmanagement #bugtracking #pmtools #teamwork #problemsolving

🐞 Escaped defects — the bugs that got away. They’re sneaky, hard to track, and often go unnoticed… but we have to catch them. Here’s the challenge: Escaped defects can show up in production or staging, and be spotted by anyone — customers, engineers, PMs, or customer success. But the key question is: 👉 Who decides it’s an escaped defect — and who marks it as one? 🔹 If a customer reports a bug, it goes into the support system — but the support team may not know if it’s tied to a recent release or impacting existing features. 🔹 If a Dev Jira ticket is created from that report, a developer needs to connect it to the release and mark it as an escaped defect. 🔹 If a dev, QA, or PM finds the issue directly in production, it’s usually easier to recognize and tag it correctly. So what’s the approach? ✅ Add a dedicated "Escaped Defect" field in your bug tracking system. ✅ Train your teams — Dev, QA, and PM — to use it consistently. ✅ Bonus 1: Add a field to track where the defect was found — dev, stage, or prod. ✅ Bonus 2: Add a field to flag if the issue reveals a test coverage gap that needs to be addressed before closing the issue. The goal: Create a clear, consistent process for tagging post-release issues — so you can learn from them, not just fix them. Escaped defect rates can be a powerful driver to improve quality practices and expand test coverage where it matters most. Alona ⭐️ I promised to explain this further — happy to answer more questions! #EscapedDefects #SoftwareQuality #BugTracking #TestCoverage #PostReleaseBugs #DevOps #SoftwareTesting #QualityEngineering #TestStrategy #ContinuousImprovement #AgileTesting #QACommunity