debugging
30 articles about debugging in AI news
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.
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.
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.
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.
VMLOps Launches 'Algorithm Explorer' for Real-Time Visualization of AI Training Dynamics
VMLOps released Algorithm Explorer, an interactive tool that visualizes ML training in real-time, showing gradients, weights, and decision boundaries. It combines math, visuals, and code to aid debugging and education.
How Structured JSON Inputs Eliminated Hallucinations in a Fine-Tuned 7B Code Model
A developer fine-tuned a 7B code model on consumer hardware to generate Laravel PHP files. Hallucinations persisted until prompts were replaced with structured JSON specs, which eliminated ambiguous gap-filling errors and reduced debugging time dramatically.
Why 'Auto-Accept' in AI Code Editors Is a Productivity Trap
A developer's year-long experiment with Cursor's auto-accept feature reveals that blindly accepting AI-generated code creates more problems than it solves. While speed increases for simple tasks, complex business logic work becomes slower due to debugging overhead and silent regressions.
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.
LlamaFactory Enables No-Code Fine-Tuning for 100+ LLMs Including Llama 4, Qwen, and DeepSeek
The LlamaFactory project eliminates traditional fine-tuning complexity with a drag-and-click interface, supporting over 100 models. This reduces setup from hours of boilerplate code and CUDA debugging to a visual workflow.
Anthropic Study: AI Coding Assistants Impair Developer Skill Acquisition, Show No Average Efficiency Gain
An internal Anthropic study found developers using AI assistants scored 17% lower on conceptual tests and showed no statistically significant speed gains. The research suggests 'vibe-coding' harms debugging and code reading abilities.
Anthropic Study Reveals AI Coding Assistants May Undermine Developer Skills
New research from Anthropic shows AI coding tools can impair developers' conceptual understanding, debugging abilities, and code reading skills without delivering consistent efficiency gains. The study found developers scored significantly lower on assessments when relying on AI assistance.
Open-Source AI Agent Revolutionizes Error Monitoring, Cuts Downtime by 95%
A new open-source AI agent autonomously scans production logs, identifies root causes of errors, and delivers contextual alerts via Slack before engineers notice issues. The tool reportedly reduces production downtime by 95%, transforming traditional debugging workflows.
How Top Tech Engineers Are Using Claude Code's 'GSD' Method to Revolutionize Development Workflows
Engineers at Amazon, Google, and Shopify are adopting a method called 'GSD' (Get Shit Done) using Claude Code to dramatically accelerate development cycles. This approach transforms how teams approach coding tasks, debugging, and system documentation.
Gemma 4 Integrated into Android Studio for AI-Assisted App Development
Google has integrated its Gemma 4 language model into Android Studio's Agent mode, providing developers with AI-assisted coding features like refactoring and feature development within the official Android IDE.
Simon Willison's 'scan-for-secrets' CLI Tool Detects API Keys in Logs
Simon Willison built 'scan-for-secrets', a Python CLI tool for scanning log files for accidentally exposed API keys. It's a lightweight utility for developers to sanitize data before sharing.
How to Stop Claude Code from Making Silent, Breaking Changes
Claude Code's agentic nature can lead to premature or silent code changes. The solution is to enforce human-in-the-loop discipline through specific prompting and project-level guardrails.
How Anthropic's Team Uses Skills as Knowledge Containers (And What It Means For Your CLAUDE.md)
Learn how to use Claude Code skills not just for automation but as living knowledge bases, following patterns from Anthropic's own engineering team.
SteerViT Enables Natural Language Control of Vision Transformer Attention Maps
Researchers introduced SteerViT, a method that modifies Vision Transformers to accept natural language instructions, enabling users to steer the model's visual attention toward specific objects or concepts while maintaining representation quality.
How to Replicate a Full Mobile Dev Workflow in Claude Code
A developer replaced their entire mobile dev workflow with Claude. Here's how to apply those principles in Claude Code for faster, more autonomous development.
ForeverSolar Uses Claude Agent SDK to Automate Solar Permitting, Cutting Approval Times
Solar installation company ForeverSolar is using Anthropic's Claude Agent SDK to automate permitting documentation, a major bottleneck in solar deployment. This represents a concrete enterprise application of agentic AI beyond software development.
VMLOPS's 'Basics' Repository Hits 98k Stars as AI Engineers Seek Foundational Systems Knowledge
A viral GitHub repository aggregating foundational resources for distributed systems, latency, and security has reached 98,000 stars. It addresses a widespread gap in formal AI and ML engineering education, where critical production skills are often learned reactively during outages.
Install ContextZip to Slash Node.js Stack Trace Token Waste in Claude Code
Install the ContextZip tool to filter out useless Node.js internal stack frames from your terminal, preserving Claude Code's context for your actual code.
4 Observability Layers Every AI Developer Needs for Production AI Agents
A guide published on Towards AI details four critical observability layers for production AI agents, addressing the unique challenges of monitoring systems where traditional tools fail. This is a foundational technical read for teams deploying autonomous AI systems.
Inside Claude Code’s Leaked Source: A 512,000-Line Blueprint for AI Agent Engineering
A misconfigured npm publish exposed ~512,000 lines of Claude Code's TypeScript source, detailing a production-ready AI agent system with background operation, long-horizon planning, and multi-agent orchestration. This leak provides an unprecedented look at how a leading AI company engineers complex agentic systems at scale.
GR4AD: Kuaishou's Production-Ready Generative Recommender for Ads Delivers 4.2% Revenue Lift
Researchers from Kuaishou present GR4AD, a generative recommendation system designed for high-throughput ad serving. It introduces innovations in tokenization (UA-SID), decoding (LazyAR), and optimization (RSPO) to balance performance with cost. Online A/B tests on 400M users show a 4.2% ad revenue improvement.
Open-Source 'Codex CLI' Emerges as Free Alternative to OpenAI's Tools, Claims 30-Agent Architecture
An open-source project called 'Codex CLI' has been released, offering a free command-line interface that its creators claim outperforms OpenAI's offerings by coordinating 30 specialized AI agents for coding tasks.