The Klavity blog
Helpful, specific, no fluff.
Practical guides on AI bug reporting, persona-driven testing, and self-healing QA.
What Is Test Coverage? Types, Metrics, and Its Limits
Test coverage is the percentage of your code executed by tests. Here's how line, branch, and function coverage differ — and why 100% never means bug-free.
API Testing vs. UI Testing: When to Use Each in QA
API tests check logic through endpoints; UI tests drive the browser like a real user. API tests run faster and break less; UI tests catch what users see.
Verification vs. Validation: What's the Difference?
Verification asks 'are we building the product right?' Validation asks 'are we building the right product?' Here's how they differ, with examples of each.
How to Reduce Mean Time to Resolution (MTTR) for Bugs
Mean time to resolution (MTTR) measures how long bugs take to fix. The reproduction stage usually dominates it — here's how to shrink each stage.
How to Redact PII and Secrets From Bug Report Evidence
Bug reports capture console logs, network calls, screenshots, and URLs — which routinely carry tokens, cookies, and PII. Here's how to redact them safely.
How to Write a Definition of Done for a Bug Fix (Checklist)
A bug isn't fixed when the code changes — it's fixed when it's verified and can't quietly return. Here's a definition-of-done checklist for bug fixes.
How to Reduce Escaped Defects Before They Reach Users
Escaped defects are bugs your users find before you do. Here's how to measure your defect escape rate and close the four gaps that let bugs slip past QA.
How to Reproduce a Production-Only Bug That Never Happens Locally
A bug that only appears in production usually traces to a parity gap in data, config, scale, integrations, or user state. Here's how to close it.
What Is the Bug Life Cycle? Every Stage, Explained
The bug life cycle is the states a defect moves through from report to closure: New, Assigned, Open, Fixed, Retest, Closed. Here's each stage's owner.
Bug vs. Defect vs. Error vs. Failure: The Difference
An error is a human mistake, a defect is the flawed code it produces, and a failure is what a user sees when that defect runs. Here's the chain.
Black-Box vs. White-Box Testing: What's the Difference?
Black-box testing checks behavior through the interface; white-box testing checks internal code paths. Here's how they differ and when to use each.
How to Write Resilient Test Selectors That Don't Break
Brittle selectors are the top cause of false test failures. Here's the locator priority order that survives UI changes, plus the anti-patterns to drop.
How to Turn a Support Ticket Into a Bug Report Devs Fix
Support tickets describe a feeling; bug reports describe a mechanism. Here is how to convert one into the other so developers can fix it.
How to Capture a HAR File for a Bug Report (Step by Step)
A HAR file is a JSON log of every network request your browser made. Here's how to capture one, sanitize it, and attach it to a bug report.
How to Find the Commit That Introduced a Bug (git bisect)
git bisect finds the exact commit that introduced a bug by binary-searching your history. Here's how to run it, script it, and skip broken builds.
Smoke Testing vs. Sanity Testing: What's the Difference?
Smoke testing checks whether a build is stable enough to test at all. Sanity testing verifies a specific fix works. Here's when to run each.
What Is a Stack Trace? How to Read One to Find a Bug
A stack trace is the ordered list of function calls that led to an error. Here's how to read one top-to-bottom to find the exact line that broke.
Selenium vs. Playwright: Choosing an E2E Test Framework
Selenium and Playwright both automate browser E2E tests but differ on setup, speed, and flakiness. Here's how to choose the right one.
How to Set Bug SLAs by Severity: A Practical Guide
A bug SLA sets a response and resolution target for each severity level. Here's how to define tiers, set realistic targets, and keep them honest.
How to Reproduce an Intermittent Bug: A Practical Guide
Intermittent bugs don't fail every time, so they slip past tests and bounce back as 'cannot reproduce.' Here's how to make one happen on demand.
How to Write Steps to Reproduce a Bug Anyone Can Follow
Vague repro steps are why bugs bounce back as 'cannot reproduce.' Here's how to write steps to reproduce anyone can follow — one action per line, with state and data.
How to Write a Bug Report Title That Speeds Up Triage
A good bug title states what breaks, where, and under what condition in one line. Here's a formula, before/after examples, and mistakes to avoid.
What Is a Smoke Test? Definition, Uses, and Examples
A smoke test is a small, fast set of checks that confirms a build's critical paths work — login, boot, core flows — before any deeper testing runs.
What Is Visual Regression Testing? A Practical Guide
Visual regression testing compares screenshots of your UI before and after a change to catch layout, spacing, and color bugs functional tests can't see.
What Is Regression Testing? Types and When to Run It
Regression testing re-runs existing tests after any change to confirm working features still work. Here are the types and when to run each.
How to Decide Which Tests to Automate First: A Framework
You can't automate every test at once. Score each candidate on frequency, stability, manual cost, and business risk, then automate the top of the list first.
How to Reduce Your Bug Reopen Rate and Why It Happens
A high bug reopen rate means fixes aren't sticking. Here's what causes reopens, how to calculate the rate, and the workflow changes that stop them.
Where AI QA Automation Actually Helps (and Where It Doesn't)
AI QA automation is strongest at mechanical work — generating tests, repairing selectors, triaging reports — and weakest at deciding what to test.
Root Cause Analysis for Bugs: A Step-by-Step Guide
Root cause analysis finds why a bug happened, not just what broke. Here's a repeatable process: reproduce, narrow, ask why, and lock the fix with a test.
Screenshot vs. Screen Recording: Which Bug Evidence?
Screenshots freeze one moment; recordings capture a sequence. Use a screenshot for visual bugs, a recording for timing bugs — and attach the console too.
What Is a Minimal Reproducible Example? A Practical Guide
A minimal reproducible example (MRE) is the smallest self-contained code and steps that reliably trigger a bug. Here's how to build one that gets it fixed.
The Testing Pyramid: Unit, Integration, and E2E Tests
Unit tests check one function, integration tests check modules together, and E2E tests drive the whole app like a user. Here's how to split them.
How to Turn a Bug Into a Regression Test That Sticks
A fixed bug with no test will come back. Here's how to convert any bug into a regression test that fails before the fix and passes after.
The QA Metrics That Actually Matter (and Which to Drop)
Test pass rate and bug count look busy but hide quality. Track escaped defects, reopen rate, MTTR, and flakiness instead. Here's why, and how.
How to Run a Bug Bash That Actually Finds Real Bugs
A bug bash only works when it's scoped, timeboxed, and captures reproducible evidence. Here's how to plan one, run the session, and triage what it finds.
In-App Bug Reporting: A Practical Guide for QA Teams
In-app bug reporting lets people file a bug from inside your product, so it ships with the exact state — URL, console, network, and environment — attached.
Manual QA vs. Automated QA: How to Split the Work Right
Manual and automated QA catch different bugs at different costs. Automate the stable, repetitive checks and keep humans on judgment. Here's the split.
What Is AI Bug Reporting? Definition and How It Works
AI bug reporting uses AI to turn a rough report into a complete, reproducible ticket — capturing steps, environment, and evidence automatically.
Exploratory Testing vs. Scripted Testing: When to Use Each
Exploratory testing discovers the unknown; scripted testing verifies the known. Here's what each catches, when to use which, and how to combine them.
How to Turn Voice-of-Customer Data Into Product Decisions
Voice-of-customer data only helps if it changes what you build. Here's how to code raw feedback, weight it by impact, and ship the decision.
How to Deduplicate Bug Reports Before Your Backlog Drowns
Duplicate bug reports waste triage time and split the signal across tickets. Here's how to match, merge, and prevent duplicates before your backlog drowns.
How to Turn Customer Interview Transcripts Into Personas
Customer interview transcripts are full of persona signal: goals, blockers, and the words users use. Here's how to turn them into testable personas.
Jira vs. Linear vs. GitHub Issues: Which Bug Tracker?
Jira, Linear, and GitHub Issues all track bugs, but they optimize for different teams. Here's how they compare on setup, workflows, cost, and code proximity.
What Is Synthetic User Testing? A Practical Definition
Synthetic user testing uses AI personas built from real customer data to simulate how users navigate your product and surface usability bugs early.
Session Replay vs. Bug Reports: When to Use Each Tool
Session replay records everything and hopes you find the bug later. Bug reports capture the exact moment a person flags one. Which should you reach for?
How to File a Bug to Jira, Linear, or GitHub From the Browser
File a bug to your tracker without losing context: capture evidence first, map it to each tool's required fields, and search before filing to avoid dupes.
What Are Self-Healing End-to-End Tests? A Practical Guide
Self-healing tests auto-repair broken selectors when your UI changes, so a renamed button doesn't fail the whole suite. Here's how they actually work.
Severity vs. Priority: How to Classify a Bug Correctly
Severity is how badly a bug breaks the product. Priority is how soon you should fix it. They're independent — and confusing them is why the wrong bugs get worked first. Here's how to classify each correctly.
How to fix flaky end-to-end tests (and stop re-running CI)
Flaky tests are a symptom, not bad luck. Here are the five root causes — timing, shared state, network races, test order, and retry abuse — and how to fix each one for good.
How to Triage a Bug Backlog Without Losing Your Mind
A 200-bug backlog doesn't mean 200 bugs to fix — it means 200 items to sort so the five that actually matter rise to the top. Here's a repeatable triage process that keeps your backlog useful.
How AI Personas Catch Bugs Your Test Suite Misses
Automated test suites verify what you thought to test. AI personas explore what you didn't think to test — surfacing UX bugs, edge-case interactions, and assumption mismatches before real users find them.
Browser Console Errors: Signal vs. Noise in QA Triage
Not every console error is a bug. Not every bug announces itself as an error. Here's how to read console output in under two minutes and separate what matters from what doesn't.
Why Your QA Team Finds Different Bugs Than Your Real Users
QA teams are expert users who know what to avoid. Real users aren't — and the bugs they hit live in the paths your QA team never takes. Here's how to close that gap systematically.
Playwright vs. Cypress: Choosing Your Regression Test Framework
Both Playwright and Cypress catch regressions — but they make different trade-offs around speed, flakiness, cross-browser coverage, and CI cost. Here's how to pick the right one for your team.
Capturing Network Requests for Bug Reports That Get Fixed
Console logs show errors, but network requests show why they happen. Learn which requests to capture, what fields matter, and how to include them in a bug report developers can act on immediately.
How to reduce 'cannot reproduce' bug tickets for good
'Cannot reproduce' is the most expensive two words in a bug tracker. Here's why it happens — and the four kinds of state you have to capture to make it stop.
How to write a bug report developers will actually act on
A bug report gets fixed fast when it carries three things: exact steps, the environment, and evidence (screenshot + console + network). Here's the format.