Context Engineering for Production AI Agents
Context engineering is replacing prompt engineering as the discipline that determines whether AI agents succeed in production. Here's the architecture
2026-03-24 · 14 min
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Engineering Blog
Production patterns for AI agents, RAG pipelines, data infrastructure, and MLOps. No theory-only posts — every article comes from a real deployment.
Graph RAG: Why Vector Search Alone Fails Multi-Hop Agent Queries
How to build Graph RAG with Neo4j for AI agent memory. Real architecture, Cypher patterns, and the failure modes vector-only pipelines hit at production
2026-03-24 · 16 min
The Self-Correcting RAG Pipeline: A Critic Agent in LangGraph
Build a production-grade self-correcting RAG pipeline with a LangGraph critic agent. Covers hallucination detection, retrieval grading, and loop escape
2026-03-24 · 15 min
Streaming RAG: Real-Time Retrieval for Agents That Can't Wait
How to build a low-latency RAG pipeline that retrieves from live Kafka streams — architecture patterns, ingestion trade-offs, and failure modes from production.
2026-03-24 · 14 min
HITL Engineering Patterns: Implementing LangGraph Interrupts for Production Approval Workflows
A deep technical guide to Human-in-the-Loop (HITL) engineering patterns using LangGraph interrupts. Learn how to implement production-grade approval workflows, checkpoint-backed state management, and async human feedback loops for AI agents.
2026-03-20 · 18 min
Context Engineering for Production Agents: The Discipline Replacing Prompt Engineering
Prompt engineering is not enough for production AI agents. This deep-dive covers context engineering -- the architectural discipline of designing, curating, and dynamically managing LLM context windows at runtime with token budgets, memory hierarchies, and retrieval patterns.
2026-03-18 · 18 min
Designing for Trust: A Production Framework for Secure, Governed & Observable AI Agents
A principal engineer's guide to building production-grade AI agent systems with security guardrails, governance controls, and full observability.
2026-03-12 · 20 min
The Data Product Pattern Language: 5 AI Blueprints
A strategic guide to data products. Explore 5 powerful blueprints (Curator, Matchmaker, Oracle, Guide, Gatekeeper) and the key algorithms used to build them.
2025-08-21 · 7 min
The Data-Driven Product Playbook: A 4-Step Guide
A deep-dive playbook for product teams. Learn our 4-step process: diagnose with cohort analysis, investigate with funnels, understand with ML, and validate with A/B tests.
2025-08-20 · 6 min
The Dual Mandate Framework: Structuring Data Teams
A framework for structuring your data team into two functions: an 'Insight Engine' and a 'Value Engine' to maximize business impact and ROI from your data.
2025-08-18 · 5 min
Agent Engineering Guide: AI Agent Architecture, Frameworks, and Production Systems
A practical agent engineering guide covering AI agent architecture, frameworks, orchestration patterns, production reliability, and the systems discipline required for real deployments.
2025-07-28 · 5 min
AI Agent CI/CD and Deployment Pipeline Tutorial
Learn how to build an AI agent CI/CD and deployment pipeline with GitHub Actions, Docker, Kubernetes, and production release discipline for agent systems.
2025-07-26 · 5 min