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AI debugging

21 articles · Page 1 of 1
Su San Talks Tech
Su San Talks Tech
Sep 14, 2026 · Backend Development

5 AI Patterns to Pinpoint Flaky Production Bugs

The article presents five practical patterns for using AI to debug intermittent production bugs: time-window log analysis, comparative field diffing, concurrent reproduction scripts, hypothesis validation with evidence tables, and integrating logging/database monitoring via MCP, emphasizing AI for retrieval/enumeration while humans retain fix responsibility.

AI debuggingMCPProduction Incidents
0 likes · 28 min read
5 AI Patterns to Pinpoint Flaky Production Bugs
Ubuntu
Ubuntu
Aug 25, 2026 · Fundamentals

Chinese Engineers Boost Linux 7.3; Linus Uses AI to Fix One‑Char Bug

Linux 7.3’s merge window showcases major performance patches from Chinese teams—ByteDance slashing SMP latency to 1.5 ms, ZTE cutting a 705 ms lock to 1.44 ms, and Xiaomi improving zsmalloc speed up to 1.83×—while Linus Torvalds, aided by Gemini AI, fixed a one‑character bug in the Intel Xe driver, and the release adds features like sched_ext, AMD UALink, Rust on PowerPC, and filesystem throughput boosts, positioning 7.3 as a strong LTS candidate.

AI debuggingLinux kernelPerformance Optimization
0 likes · 10 min read
Chinese Engineers Boost Linux 7.3; Linus Uses AI to Fix One‑Char Bug
IT Xianyu
IT Xianyu
Jul 27, 2026 · Artificial Intelligence

Midnight Release of Claude Opus 5: Using an Old Project to Hunt Bugs Yields Surprising Findings

At 1 am on Friday, the author fed a legacy pagination function to Claude Opus 5, discovered a floating‑point edge case missed by community patches, then exposed a zero‑batch‑size bug and a demo‑level market‑data parser, while comparing performance, cost and fallback behavior of the new model.

AI debuggingClaude Opus 5bug detection
0 likes · 9 min read
Midnight Release of Claude Opus 5: Using an Old Project to Hunt Bugs Yields Surprising Findings
dbaplus Community
dbaplus Community
Jul 2, 2026 · Fundamentals

Production Hit by Silent Data Corruption: JDK 25 G1GC Bug Explained

A rare silent data‑corruption bug in JDK 25’s G1GC caused Parquet and ORC files written by Spark and Flink to become unreadable, prompting a multi‑stage investigation that traced the issue to an optional evacuation flaw affecting JNI‑pinned objects, which was later back‑ported and fixed in the OpenJDK community.

AI debuggingFlinkG1GC
0 likes · 20 min read
Production Hit by Silent Data Corruption: JDK 25 G1GC Bug Explained
JavaGuide
JavaGuide
May 14, 2026 · Frontend Development

When Codex Broke My Site: A Frontend Debugging Walkthrough

The author recounts how using Codex to analyze JavaGuide's performance triggered a site-wide outage, then details the step‑by‑step investigation—from cache misconfigurations and hashed asset handling to a VuePress hydration bug—and shares practical lessons on combining AI assistance with disciplined engineering practices.

AI debuggingCDNClaude
0 likes · 13 min read
When Codex Broke My Site: A Frontend Debugging Walkthrough
macrozheng
macrozheng
Apr 30, 2026 · Operations

How AI-Powered Arthas with MCP Transforms Online Issue Diagnosis

The article explains how integrating Arthas with the Model Context Protocol (MCP) enables AI-driven, natural‑language troubleshooting of Java‑based online incidents, offering step‑by‑step diagnostics, concrete case studies, and a balanced view of its advantages and current limitations.

AI debuggingArthasJava
0 likes · 11 min read
How AI-Powered Arthas with MCP Transforms Online Issue Diagnosis
SpringMeng
SpringMeng
Apr 8, 2026 · Operations

AI-Integrated Arthas: Turning Online Issue Diagnosis into One-Click Debugging

The article explains how Arthas, now integrated with the Model Context Protocol (MCP), lets AI automatically execute and interpret diagnostic commands for Java applications, offering step‑by‑step case studies, a detailed workflow, and an analysis of its strengths and limitations.

AI debuggingArthasJava
0 likes · 13 min read
AI-Integrated Arthas: Turning Online Issue Diagnosis into One-Click Debugging
Su San Talks Tech
Su San Talks Tech
Apr 6, 2026 · Operations

How AI‑Powered Arthas MCP Transforms Java Runtime Troubleshooting

This article explains how the Model Context Protocol (MCP) integrates with Arthas to let AI agents automatically diagnose Java production issues—such as high CPU, slow responses, memory leaks, and deadlocks—by invoking Arthas commands via natural‑language queries, eliminating manual command‑line steps.

AI debuggingArthasDiagnostics
0 likes · 11 min read
How AI‑Powered Arthas MCP Transforms Java Runtime Troubleshooting
DeWu Technology
DeWu Technology
Apr 1, 2026 · Backend Development

How AI‑Powered /log‑diagnosis Skill Automates Bug Tracing in Backend Logs

This article explains how the /log‑diagnosis Skill, built on Claude Code and the Model Context Protocol (MCP) log platform, creates a closed‑loop workflow that automatically fetches logs, extracts key information, maps it to source code, diagnoses root causes, and generates remediation suggestions, dramatically speeding up backend debugging.

AI debuggingClaude CodeMCP
0 likes · 17 min read
How AI‑Powered /log‑diagnosis Skill Automates Bug Tracing in Backend Logs
MeowKitty Programming
MeowKitty Programming
Mar 15, 2026 · Artificial Intelligence

AI Won’t Replace Developers – It’s the Engine That Raises Your Pay

A surge of AI coding assistants—used by 78% of developers—dramatically boosts productivity in basic coding, debugging, and cross‑team collaboration, while data from Stack Overflow, LinkedIn and U.S. labor reports show AI‑savvy programmers enjoy higher salaries and stronger demand for senior roles.

AI debuggingAI programmingGitHub Copilot
0 likes · 9 min read
AI Won’t Replace Developers – It’s the Engine That Raises Your Pay
AI Insight Log
AI Insight Log
Mar 15, 2026 · Artificial Intelligence

When Workers Turn the Tables: How the PUA Skill Forces Claude Code to Obey

The open‑source “pua” plugin turns Claude Code’s usual polite‑exit behavior into a disciplined debugging process by escalating pressure levels, forcing systematic checks, and ultimately improving bug‑fix rates by 36% at the cost of longer execution time.

AI behaviorAI debuggingClaude Code
0 likes · 11 min read
When Workers Turn the Tables: How the PUA Skill Forces Claude Code to Obey
Node.js Tech Stack
Node.js Tech Stack
Jan 23, 2026 · Backend Development

Bun’s New --cpu-prof-md Flag Generates AI‑Friendly Markdown Profiling, Prompting a Node.js Response

Bun introduces the --cpu-prof-md flag that outputs CPU profiling data as structured Markdown for large language models, earning praise from Vue creator Evan You and inspiring Node.js core contributor Matteo Collina to release a pprof‑to‑md converter, highlighting a shift toward AI‑oriented CLI tools.

AI debuggingBunCLI tools
0 likes · 7 min read
Bun’s New --cpu-prof-md Flag Generates AI‑Friendly Markdown Profiling, Prompting a Node.js Response
Wuming AI
Wuming AI
Dec 28, 2025 · Artificial Intelligence

How to Use AI to Rapidly Debug Complex Coze Workflows

This guide shows how to export a tangled Coze workflow, feed its YAML and related JSON files into the Qoder AI coding assistant, let the model analyze the mis‑aligned subtitle timestamps, receive concrete fixes, and even tweak background music through natural‑language prompts.

AI coding assistantAI debuggingCoze workflow
0 likes · 5 min read
How to Use AI to Rapidly Debug Complex Coze Workflows
Full-Stack Cultivation Path
Full-Stack Cultivation Path
Oct 6, 2025 · Frontend Development

Turn VSCode into a Chrome Remote Debugger with DevTools MCP

Facing page white‑screens, slow first‑paint metrics, and endless compatibility screenshots, developers can now use Chrome DevTools MCP—a new AI‑driven protocol that packages all DevTools capabilities into callable interfaces—to automate debugging, performance analysis, and testing directly from editors like Trae and VSCode, boosting efficiency threefold.

AI debuggingChrome DevToolsMCP
0 likes · 8 min read
Turn VSCode into a Chrome Remote Debugger with DevTools MCP
Xiaolong Cloud Tech Team
Xiaolong Cloud Tech Team
Sep 30, 2025 · Frontend Development

Chrome’s New DevTools MCP Lets AI Debug Front‑End, Doubling Efficiency

Chrome’s newly released DevTools MCP server opens a Model Context Protocol that lets AI tools access real browser state, enabling them to verify fixes, troubleshoot errors, automate interactions, and diagnose performance, effectively turning AI from a code‑writer into a hands‑on debugging partner.

AI debuggingChrome DevToolsMCP protocol
0 likes · 4 min read
Chrome’s New DevTools MCP Lets AI Debug Front‑End, Doubling Efficiency
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 21, 2025 · Artificial Intelligence

Why Your AI Defect Deduplication Returns Mixed Data and How to Fix It

This article details the challenges of building an AI‑powered defect deduplication system using Retrieval‑Augmented Generation, explains why LLMs produce composite (spliced) results, diagnoses the root cause as information loss in the RAG pipeline, and presents a step‑by‑step solution that restores atomicity of records for reliable duplicate detection.

AI debuggingLLMRAG
0 likes · 14 min read
Why Your AI Defect Deduplication Returns Mixed Data and How to Fix It
ITPUB
ITPUB
May 29, 2025 · Artificial Intelligence

How Claude Opus 4 Solved a Four‑Year ‘White Whale’ Bug and Cut Debugging Time by 1,000×

A veteran staff engineer spent years chasing a hidden GPU‑triggered shader bug until Claude Opus 4’s global code‑analysis and architecture‑diff capabilities pinpointed the flaw, slashing debugging effort from hundreds of hours to a few, while reshaping how developers collaborate with AI.

AI debuggingClaude Opus 4Software Engineering
0 likes · 9 min read
How Claude Opus 4 Solved a Four‑Year ‘White Whale’ Bug and Cut Debugging Time by 1,000×
Sohu Tech Products
Sohu Tech Products
Mar 19, 2025 · Artificial Intelligence

Debugging MCP Service Registration Issues in Cursor IDE

The article details how the author discovered a bug in Cursor’s closed‑source IDE where correctly registered MCP services, such as a weather query tool, are omitted from the LLM’s tool list, preventing calls, and explains the debugging steps that compared Cursor with the open‑source Cline implementation to pinpoint the registration flaw.

AI debuggingCursorLLM Integration
0 likes · 12 min read
Debugging MCP Service Registration Issues in Cursor IDE
21CTO
21CTO
Mar 11, 2024 · Operations

How Netlify’s AI Debugger Turns Failed Deploys into Quick Fixes

Netlify’s new AI‑assisted deployment feature automatically analyzes build failures, offers diagnostic suggestions, and helps developers resolve issues faster, though its recommendations are best‑effort and may require manual verification.

AI debuggingNetlifyReAct
0 likes · 5 min read
How Netlify’s AI Debugger Turns Failed Deploys into Quick Fixes