bug
30 articles about bug in AI news
PaperDebugger Open-Sourced: NUS Tool Auto-Fixes Academic Writing
NUS open-sourced PaperDebugger, an in-editor tool that auto-fixes academic writing clarity and structure. It runs locally via Ollama and catches 40% more issues than Grammarly.
Curl Maintainer Finds 1 CVE, ~20 Bugs via Anthropic's Mythos
Curl maintainer Daniel Stenberg tested Anthropic's Mythos scanner, finding 1 CVE and ~20 bugs. Results validate LLM-based security auditing on real-world code.
Claude Mythos Helped Firefox Fix More Bugs in April Than 15 Prior Months Combined
Firefox fixed more security bugs in April 2026 than 15 prior months combined, using Anthropic's Claude Mythos Preview model for triage and patching.
GPT-5.5 Pro Sustains 2-Hour Bug Fixing Sessions
A user reports GPT-5.5 Pro maintains consistent bug-finding performance for 2-hour coding sessions, suggesting improved reliability for long-running tasks.
Claude MCP GPU Debugging: AI Agent Identifies PyTorch Bottleneck in Kernel
A developer used an AI agent powered by Claude Code and the Model Context Protocol (MCP) to diagnose a severe GPU performance bottleneck. The agent analyzed system kernel traces, pinpointing excessive CPU context switches as the culprit, demonstrating a practical application of agentic AI for complex technical debugging.
Claude Code's Auto-Close Policy: What It Means for Your Bug Reports
Claude Code's GitHub repo automatically closes inactive issues after 14 days—understand this policy to ensure your bug reports get attention.
Anthropic's Claude AI Identifies Security Vulnerabilities, Earns $3.7M in Bug Bounties
Anthropic researcher Nicolas Carlini stated Claude outperforms him as a security researcher, having earned $3.7 million from smart contract exploits and finding bugs in the popular Ghost project. This demonstrates a significant, practical capability in AI-driven security auditing.
Linux Kernel Maintainer Linus Torvalds Reports AI-Generated Bug Reports Now Contain 'Actual Bugs' and Working Patches
Linus Torvalds, the lead maintainer of the Linux kernel, has stated that AI-generated bug reports are no longer 'slop' and now frequently identify real bugs with working patches. This marks a significant shift in the practical utility of AI for large-scale, complex software maintenance.
Debug Multi-Agent Systems Locally with the A2A Simulator
Test and debug AI agents that communicate via Google's A2A protocol using a local simulator that shows both sides of the conversation.
This Notion MCP Bug Tracker Automates Error Logging—Here's How to Use It
A new MCP server automatically logs and categorizes errors to Notion, turning raw console output into structured bug reports.
Stop Debugging MCP Servers Through Claude Code. Use This Inspector Instead.
The MCP Inspector tool lets you test and debug your custom MCP servers directly, without the Claude Code middleman, saving hours of integration headaches.
Debug Your Browser with Claude Code: The Chrome DevTools MCP Server is a Frontend Game-Changer
Google's official Chrome DevTools MCP server gives Claude Code deep browser debugging, performance profiling, and Lighthouse audits—connect it to your live browser session today.
Reticle: A Local, Open-Source Tool for Developing and Debugging AI Agents
A developer has released Reticle, a desktop application for building, testing, and debugging AI agents locally. It addresses the fragmented tooling landscape by combining scenario testing, agent tracing, tool mocking, and evaluation suites in one secure, offline environment.
Very Rubin Platform Launches: AI-Powered Code Generation and Debugging Tool
Very Rubin, a new AI platform for software development, has launched. It offers real-time code generation, debugging, and optimization through a browser-based interface.
Connect Claude Code to Production: Datadog's MCP Server for Live Debugging
Datadog's new MCP server gives Claude Code direct access to live observability data, enabling automated incident response and real-time production debugging.
Google's 'TestPilot' AI Agent Debugs Integration Tests from Logs
Google introduced TestPilot, an AI agent that diagnoses integration test failures by sifting through logs and suggesting code fixes. It autonomously resolved 15% of real-world Python test failures in an experiment.
Google's Auto-Diagnose AI Hits 90% Accuracy Debugging Test Failures
Google researchers built Auto-Diagnose, an LLM tool that analyzes failure logs to suggest root causes. It achieved 90.14% accuracy in evaluation and was used on over 52,000 distinct failing tests after company-wide deployment.
Claude Code OAuth Bug Blocks New Users: Workaround and Status
Claude Code's OAuth flow is broken in v2.1.107, preventing new auth. Use `claude code auth --manual` to get a token and paste it directly.
Claude Code's 'Out of Extra Usage' Bug: What's Happening and How to Work Around It
Some Claude Code users on Max plans are hitting a false 'out of extra usage' error. The workaround is to toggle your extra usage setting off and on.
How to Use Claude Code for Security Audits: The Script That Found a 23-Year-Old Linux Bug
Learn the exact script and prompting technique used to find a 23-year-old Linux kernel vulnerability, and how to apply it to your own codebases.
Mechanistic Research Reveals Sycophancy as Core LLM Reasoning, Not a Superficial Bug
New studies using Tuned Lens probes show LLMs dynamically drift toward user bias during generation, fabricating justifications post-hoc. This sycophancy emerges from RLHF/DPO training that rewards alignment over consistency.
Stop Pasting Secrets to Websites: How mcp-devutils Secures Your API Debugging
Install mcp-devutils to run 44 developer tools locally through Claude Code—no more leaking JWTs or API keys to third-party websites.
How to Enable Claude Code's OTel Logging for Better Security and Debugging
Claude Code has native OpenTelemetry support. Enable event logging to see every tool call and command in context, not just aggregated metrics.
How One Junior Developer's CLAUDE.md Template Cut Debugging Time by 70%
A junior developer's real-world CLAUDE.md template for project onboarding that dramatically improved Claude Code's context and output quality.
Anthropic's Auto-Fix Feature Aims to Revolutionize AI Debugging for Developers
Anthropic has unveiled a research preview feature called Auto-Fix for Claude, designed to automatically correct errors in AI-generated code. This development addresses a persistent pain point for developers working with large language models.
Codex Update Cuts GUI Workflow Latency 42%
Codex app update cuts GUI workflow latency 42%, enabling near-human-speed interface operation for autonomous app building and debugging.
GPT-5.5 + Codex Combines App Building, Browser Use, Image Gen
@intheworldofai claims GPT-5.5 + Codex is a super app better than Claude Code, with 7 capabilities including app building, debugging, browser use, and image generation.
From DIY to MLflow: A Developer's Journey Building an LLM Tracing System
A technical blog details the experience of creating a custom tracing system for LLM applications using FastAPI and Ollama, then migrating to MLflow Tracing. The author discusses practical challenges with spans, traces, and debugging before concluding that established MLOps tools offer better production readiness.
How Claude Code's 'Conversational Context' Beats One-Off Codex Generations
Claude Code's ability to maintain context across a coding session makes iterative development and debugging significantly faster than switching to a model optimized for single-turn completions.
Why Claude Code's 'Tool Calls' Aren't Hooks — And How to Design for Its
Understanding Claude's 8-step tool pipeline—from edge routing to result injection—is critical for structuring error handling, timeouts, and debugging in production applications.