troubleshooting
20 articles about troubleshooting in AI news
BM25: The 30-Year-Old Algorithm Still Powering Production Search
A viral technical thread details why BM25, a 30-year-old statistical ranking algorithm, is still foundational for search. It argues for its continued use, especially in hybrid systems with vector search, for precise keyword matching.
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.
Nature Study: AI Chatbot Interfaces Degrade Diagnostic Accuracy Despite Model Capability
Research published in Nature shows that while AI models can diagnose medical issues accurately, the chatbot interface users interact with creates confusion and degrades answer quality. This highlights a critical gap between model performance and real-world usability.
Home Depot Hires Ford Tech Leader to Scale Agentic AI
Home Depot has recruited a top AI executive from Ford Motor Company to lead the scaling of 'agentic AI' systems. This signals a major strategic push by the retail giant to automate complex, multi-step tasks. The move reflects the intensifying competition for AI talent between retail, automotive, and tech sectors.
Claude Code's Opus 4.6 Outage: How to Switch Models and Keep Working
When Opus 4.6 experiences elevated error rates, switch to Sonnet 4.6 or Haiku via CLI flags to maintain Claude Code productivity.
Automate LinkedIn, X, and Reddit Outreach with This Claude Code Plugin
Install the 'socials' MCP plugin to have Claude Code handle social media prospecting, engagement, and promotion directly from your terminal.
How to Keep Coding When Claude Code Goes Down: Your Local Fallback Plan
Recent Claude Code outages show why every developer needs a local fallback strategy. Here's how to keep working when the API fails.
How I Built a Production AI Query Engine on 28 Tables — And Why I Used Both Text-to-SQL and Function Calling
A detailed case study on building a secure, production-grade AI query engine for an affiliate marketing ERP. The key innovation is a hybrid architecture using Text-to-SQL for complex analytics and MCP-based function calling for actions, secured by a 3-layer AST validator.
AMES: A Scalable, Backend-Agnostic Architecture for Multimodal Enterprise Search
Researchers propose AMES, a unified multimodal retrieval system using late interaction. It enables cross-modal search (text, image, video) within existing enterprise engines like Solr without major redesign, balancing speed and accuracy.
NanoVDR: A 70M Parameter Text-Only Encoder for Efficient Visual Document Retrieval
New research introduces NanoVDR, a method to distill a 2B parameter vision-language retriever into a 69M text-only student model. It retains 95% of teacher quality while cutting query latency 50x and enabling CPU-only inference, crucial for scalable search over visual documents.
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.
7 Production-Ready Agent Hooks You Can Copy Into Your CLAUDE.md Today
Agent hooks in CLAUDE.md automate context management, testing, and deployment, turning Claude Code from a chat tool into a proactive development partner.
Claude AI Abandons Text-Only Responses: Anthropic's Model Now Chooses Output Medium Dynamically
Anthropic's Claude AI has stopped defaulting to text responses and now dynamically selects the best medium for each query—including images, code, or documents—based on user needs and context. This represents a fundamental shift toward multimodal AI that adapts to human communication patterns.
How to Keep Coding When Claude Code Goes Down: Your Offline Workflow Checklist
Claude Code experienced a widespread outage. Here's how to prepare your local environment so you can keep working when the API is unavailable.
Google DeepMind's Intelligent Delegation Framework: The Missing Infrastructure for AI Agents
Google DeepMind has introduced a groundbreaking framework called Intelligent AI Delegation that enables AI agents to safely hand off tasks to other agents and humans. The system addresses critical issues of accountability, transparency, and reliability in multi-agent systems.
New Research Validates Retrieval Metrics as Proxies for RAG Information Coverage
A new arXiv study systematically examines the relationship between retrieval quality and RAG generation effectiveness. It finds strong correlations between coverage-based retrieval metrics and the information coverage in final responses, providing empirical support for using retrieval metrics as performance indicators.
The Long Conversation Problem: Why Even Advanced AI Models Struggle with Extended Dialogues
New research reveals that even cutting-edge LLMs like GPT-5.2 and Claude 4.6 experience significant accuracy degradation—up to 33%—in extended conversations. The performance drop occurs when tasks are spread across multiple messages rather than presented in single prompts.
Nano Banana 2: How AI's Latest Leap in Complex Reasoning Could Transform Everyday Tasks
OpenAI's latest model iteration, nicknamed 'Nano Banana 2,' demonstrates significant improvements in handling complex, multi-step reasoning tasks with greater speed and accuracy, particularly in understanding detailed instructions and nuanced contexts.
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.
OpenAI Deploys Secure ChatGPT for U.S. Defense, Marking Strategic Shift in Military AI Adoption
OpenAI has launched a custom ChatGPT deployment on GenAI.mil, providing U.S. defense teams with secure, safety-focused AI capabilities. This represents a significant milestone in military AI adoption and OpenAI's government strategy.