debugging

Apple has released an MCP server for Safari Technology Preview 247 that allows AI coding agents to directly inspect and debug websites. The server gives agents access to console logs, network requests, screenshots, and DOM interactions through the Model Context Protocol standard created by Anthropic.

Amazon Web Services launched AgentCore Observability for Amazon Bedrock, a debugging tool that provides visibility into AI agent execution through OpenTelemetry traces, CloudWatch metrics, and structured logs. The tool addresses silent failures in production agents including infinite reasoning loops, incorrect tool selection, and plausible but incorrect answers.

Mistral AI released new enterprise connector features including workspace-level access controls, multi-account authentication for single connectors, and a debugging tool for Model Context Protocol (MCP) connections. The updates address production deployment challenges for AI agents accessing enterprise data systems.

Mistral AI's engineering team documented their investigation of a memory leak in vLLM that caused 400MB/minute memory growth during disaggregated serving with Mistral Medium 3.1. The leak, which only appeared with specific conditions including graph compilation and NIXL-based KV cache transfer, was eventually traced to mmap allocations outside the traditional heap that standard profiling tools couldn't detect.

Anthropic confirmed three separate system changes in March and April degraded Claude Code, Claude Agent SDK, and Claude Cowork performance. The company reduced default reasoning effort from high to medium on March 4, introduced a caching bug on March 26 that cleared session data with every turn, and added restrictive word limits on April 16 that caused a 3% performance drop.

GitHub has updated Copilot Chat on github.com with improved stack trace recognition. The enhancement helps developers identify error root causes faster when debugging by more reliably parsing pasted stack traces.