Why Bug Triage is a Critical Skill When bugs are flying in from every direction user reports, automated tests, team demos it’s easy for a dev team to lose its footing. That’s where structured triage comes in. It stops the group from spiraling into chaos by giving you a reliable decision making routine. Instead of […]
What Real Time Debugging Requires Today Software systems aren’t simple anymore. Between microservices, distributed architectures, complex APIs, and cloud native infrastructure, even small teams might be managing countless moving parts under the hood. When something breaks, it’s not just a matter of checking a single file or catching a syntax error it’s about tracing ripple
What Predictive Debugging Actually Means Traditional debugging is reactive. A bug appears, a developer digs through logs or breakpoints, and eventually patches it. It’s time consuming, and often happens only after users have already felt the impact. Predictive debugging flips that process. Instead of waiting for errors to surface, it uses data and machine learning
Know the Bug Before You Chase It Before diving into the code, take time to understand exactly what you’re dealing with. Rushing the debugging process without context can lead to wasted time or even misdiagnosed problems. Replicate the Issue in a Controlled Setting To begin: Recreate the issue consistently, preferably in a development or staging
What Happens Without Thread Safety Modern software environments are almost never single threaded. Whether you’re building a web application, a mobile app, or even running background system jobs, you’re almost certainly working in a concurrent context. Failing to account for thread safety isn’t just a theoretical risk it leads to real world bugs that are
Setting the Stage Crash logs aren’t just digital debris they’re storyboards of real failure. Unlike contrived bug examples or textbook exercises, real world crash logs drop you into unfiltered chaos. You get actual runtime conditions, raw stacks, and the fingerprints of an issue that mattered enough to break something in production. That’s why they’re so
What Logging Levels Actually Do Not all logs are created equal. Some whisper details; others scream that your app is on fire. Logging levels exist to help you sort important signals from background noise, wrapping intent and urgency into each message. Here’s the breakdown: TRACE: The most granular. Used for following the minute steps of
Start with the Symptoms, Not the Whole Codebase Legacy systems are messy. They’re patched, propped up, and often undocumented. Diving headfirst into the full codebase is a trap. Don’t do it. Start with the symptoms. Look at the bug reports, user complaints, logs whatever signal you’ve got. Then go one step further: recreate the issue
Scoping the Problem Most bugs show up as symptoms, not explanations. An app crashes. A server slows down. Buttons stop responding. It’s easy to chase the noise and miss the signal. The key is to slow down and ask: what actually broke versus what looks broken? Clarifying the symptom is the warm up identifying the
Why Debugging Needs a Full Stack Perspective Modern software systems aren’t just complex they’re interdependent ecosystems of services, databases, user interfaces, and external integrations. Attempting to debug just one layer in isolation often leads to misleading conclusions or, worse, missed root causes. Why Isolated Fixes Fall Short Fixing issues within one component like frontend or