Claude Code for Debugging: From Stack Traces to Root Cause Fast
How to use Claude Code to debug production issues — analyzing stack traces, tracing code paths, reproducing bugs, fixing root causes, and preventing regressions.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
How to use Claude Code to debug production issues — analyzing stack traces, tracing code paths, reproducing bugs, fixing root causes, and preventing regressions.
Gte-qwen2-7b-instruct: a comprehensive comparison of embedding models in 2026 — benchmarking OpenAI text-embedding-3, Cohere embed-v4, Voyage AI, and open-source alternatives across performance, cost, and use cases.
OpenAI launches Operator, an AI agent that autonomously browses the web to complete tasks. How it works, what it can do, and the implications for web automation.
A practical guide to deploying reasoning and chain-of-thought models in production, covering when extended thinking adds value, cost-performance tradeoffs, and implementation patterns.
Where multi-agent systems on Claude are heading in 2026 — persistence, interoperability, autonomy — and the concrete steps to prepare your team now.
The metrics, evals, and production signals that prove a Claude multi-agent system actually works — and the vanity metrics that mislead you.
A realistic end-to-end build of a multi-agent system on Claude — scoping, tools, orchestration, evals, and a careful rollout, decision by decision.
Realistic multi-agent failure modes and the Claude-specific controls — scoped tools, budgets, human-in-the-loop — that contain agent blast radius.
The concrete skills, roles, and hiring shifts engineering teams need to ship reliable multi-agent systems with Claude in 2026.