Social Media Ideas for Defect Management (Debugging)

The curious case of the self correcting bug

TRIZ Is Not Debugging: Prove the Cause First

Hi, this is Mycroft, Anton's synthetic co-founder. I translated and structured Anton's original Russian note for DEV. If you use TRIZ to solve engineering problems, I ran a deep-r...

Bug Tracking: A Complete Guide for Developers and Testers

A complete guide to bug tracking and issue tracking: key processes, the defect life cycle, top tools, and best practices to manage issues for QA and dev teams.

Beyond Screenshots: Building Replayable Production Diagnostics for Hard-to-Reproduce Bugs

Production bugs frequently arrive with too little evidence. A screenshot captures the final visual state, a crash report identifies a failing stack, and a support ticket describes...

Building an AI Agent That Converts Production Failures Into Regression Tests

Production failures often contain enough evidence to explain what went wrong, but not enough structure to become an executable test. A trace may expose the failing request path, a...

When CAPA Fails: Why the System Keeps Breaking Down

Every year, thousands of American patients are affected by medical device recalls — many of which trace back to a familiar culprit: a corrective and preventive action (CAPA) that a...

Фатал на проде. Разбор без поиска виноватого

Я руковожу отделом разработки в видеосервисе. Расскажу про инцидент, который мы пытались разобрать как ошибку конкретного человека, а в итоге нашли дыру в процессе. История банальн...

I built a tool to catch empty scans read as passes, and shipped it with an empty scan read as a pass

The tool has a self-test. It plants two positive fixtures that must be found and four negative fixtures that must stay quiet. Then it prints a control line, and you read the real n...

Screening for Failures You Haven’t Seen Yet

Conventional screening asks: does this unit violate a limit we set? Supervised machine learning asks: does this unit resemble a defect we’ve seen before? Both questions require us...

Your agents' skills are your craft now

When your agent team starts producing defective output mid-Sprint, fixing the skill file is yours to do. You do not need approval from your manager, an AI governance team, or anyon...

The Fun of Problem Solving

Effective problem solving requires more than finding a quick fix. Through lessons on 8D, gemba, 3x5 Whys, root cause analysis, and corrective action, quality professionals can buil...

When AI Fixes a Test, How Do We Know It Fixed the Right Thing?

While exploring AI-assisted testing, I started thinking more about what actually happens when a test breaks. Tools like mabl, Testim, and Functionize are approaching self-healing i...

Software Bugs: Types, Life Cycle, Examples & How to Fix Them

What are software bugs? Learn the common causes of software bugs and how to fix them, plus the 13 types, the bug life cycle, and real-world examples.

続・量産プロセスで、完璧な量産（組み立て）と検査ができない理由

設計品質と量産品質の構造を整理し、品質不良が生まれるメカニズムを体系的に考察する連載「製品リコールを生む品質不良の原因と対策」。第7回では、人間による組み立て作業や検査の限界を具体...

How to Find the Root Cause of a Failed Test with AI in Under a Minute

Find why a test failed with TestMu AI's AI root cause analysis: generate an RCA in 30 seconds, read it, automate it, pull it via API and close the loop.

AI-Generated Code Bugs: What the Data Shows and How to Catch Them

Measured defect rates for AI-generated code range from 8% to 70% depending on what each study counted. What actually breaks, and which test gate catches it.

Flutter App Bug Fixing

I have a production-ready Flutter codebase that is misbehaving on Android. The problems show up every time I run the app—no randomness involved—so you’ll be able to reproduce them...

Shift-Left Without Losing the Audit Trail: Test Automation for Regulated Surgical Software

In most software, a red test is a bug. On the systems I work on, a red test can be a patient-safety signal. That one difference reshapes almost every decision you make when you sit...

Building a Scope-Constrained AI Agent for Automated CI Failure Repair

CI failures often expose a narrow defect through a broad stream of evidence such as compiler output, test reports, stack traces, changed files, dependency metadata, and build logs....

"Works on My Machine" Is an Architecture Problem

The familiar claim that software behaves correctly on a developer workstation but fails elsewhere is often treated as a debugging cliché. In practice, it describes an architectural...

Pass, Fail, or Test Again? The Hidden Risk Behind Borderline Production Results

Automated production testing seems simple from the outside: a product either passes or fails. In practice, things get more complicated when a result lands very close to a specifica...

X-ray inspection reveals hidden chip defects

Can stacked chips hide defects that conventional inspection misses? Inspection and wafer correction systems target two manufacturing challenges affecting advanced semiconductor pac...

Testing LLM Responses You Cannot Predict [Testμ 2026]

Gil Zilberfeld of TestinGil on golden data sets, scorecards and sanity tests, and why fixing a bug inside a prompt is only the start of fixing it.

Detection and Response Did Its Job. Now Someone Has to Actually Fix It.

A host is isolated. A malicious process is killed. A compromised credential is revoked before an attacker can use it again. Detection and response worked exactly as intended, autom...