Blog
Claude Code in Production: What Senior Engineers Actually Need to Know
Most teams using Claude Code are running it at 20% of its actual capability. Here is what teams actually getting leverage are doing differently — from CLAUDE.md to multi-agent file coordination.
Should You Actually Use Redis Iris? An Honest Builder's Verdict
Redis Iris solves real production agent problems. It also requires real operational commitment. Here is the 5-question checklist I use to decide.
Redis Iris vs. Pinecone Nexus vs. Naive RAG: When to Use What
The only question that matters when choosing a retrieval architecture: how fast does your data change? Here is the full comparison with three concrete scenarios.
Why Your RAG Pipeline Fails in Production
Most production RAG failures are not model problems. They are runtime data problems. Here is what actually breaks and why better retrieval does not fix it.
How Redis Iris Actually Works: A Builder's Breakdown
Redis Iris has four moving parts. Here is how RDI, the Context Retriever, Agent Memory, and LangCache actually work, with honest tradeoffs on each.
The Best Agent Evals Come From Production Failures, Not Design Sessions
Most teams spend weeks designing agent evals from scratch. The ones that build better agents discover them from real traces and real failures. Here is what that actually looks like.
The 90-Day Playbook for Teams That Shipped AI Agents Too Fast
64% of enterprise teams deployed AI agents before they felt ready. Here is the practical 90-day sequence to harden what is already running — inventory, guardrails, observability, and attribution.
An AI Agent Deleted a Production Database: Why Agent Permissions Are the New Security Boundary
Three AI safety incidents in one week. A production DB deletion, an LLM-designed virus, and stylometric de-anonymization from 125 words. Here is why agent permissions need the same rigor as database admin credentials.
Six Agent Frameworks in One Week: The Tooling Is Free, the Architecture Bill Comes Later
Hermes, DeerFlow, Nanobot, and three more agent frameworks shipped in a single week. The real challenge is not picking one. It is orchestrating them without context rot destroying your production outputs.
Three Days Debugging a One-Line Fix: Why AI Agents Need Tracing
Three days debugging a one-line fix. Most AI agents have zero observability. Here is how to instrument them like the distributed systems they are.