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#AI Agents

Articles tagged with AI Agents. Practical engineering insights for production systems.

12 articles on this page

2026-05-28 4 min read

The 7-Layer Agent Stack: Why Your Demo-Grade Agent Keeps Failing in Production

Most production agent platforms started as LangChain scripts with orchestration retrofitted under deadline. The 7-layer agent stack explains why demo-grade agents fail—and what to build instead.

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2026-05-27 4 min read

Agent Engineering: The New Discipline Your 2026 Engineering Team Needs

57% of organizations have agents in production, but 48% skip offline evaluations and 63% skip online monitoring. Agent engineering is the DevOps of 2012—here's the discipline your team needs.

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2026-05-20 4 min read

From REST to MCP: Redesigning APIs for the Agentic Era

MCP crossed 97M monthly SDK downloads. Learn how to redesign REST APIs for agentic clients—tool schemas, resource discovery, and contracts that work for humans and AI agents alike.

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2026-05-05 6 min read

AI Agent Memory Systems: How Vector Databases Enable Long-Term Context and Learning

AI agents forget everything between runs. Vector databases solve this by providing semantic memory—enabling agents to recall past interactions, learn from experience, and maintain context across sessions.

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2026-05-05 4 min read

Transactional AI Agents: Patterns for Database Consistency and Safe Rollbacks

AI agents that write to databases introduce new consistency risks. Learn the patterns for ACID-compliant agent actions, compensation transactions, and safe rollbacks when agent-driven operations fail.

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2026-05-05 6 min read

AI Agents for Database Schema Evolution: Automated Migrations and Safe Schema Changes

Database schema changes are high-risk, high-friction operations. AI agents can analyze code changes, generate migration scripts, validate them against best practices, and execute them safely with rollback plans.

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2026-05-05 6 min read

AI Agents That Write SQL: Patterns for Reliable Database Query Generation

AI agents that generate and execute SQL queries can automate analytics, debugging, and reporting. Learn the patterns for reliable query generation, schema grounding, and safe execution against production databases.

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2026-05-05 6 min read

AI Agents for Database Monitoring: Autonomous Performance Tuning and Anomaly Detection

AI agents can monitor database performance, detect anomalies, and suggest optimizations—often before humans notice a problem. Learn how to build agents that keep your databases healthy.

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2026-05-05 5 min read

Database Architecture for AI Agent Memory: Storing State, Conversations, and Knowledge at Scale

AI agents need memory—short-term context, long-term knowledge, and episodic recall. Learn how to architect databases that handle high-throughput reads/writes for agent memory systems.

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2026-04-25 5 min read

Model Context Protocol (MCP) Explained: The Standard That's Changing How AI Agents Access Tools

MCP (Model Context Protocol) is fast becoming the USB-C of AI tooling. Learn what it is, why it matters, and how to integrate it into your AI agent architecture in 2026.

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2026-04-24 6 min read

Multi-Agent Systems: Orchestration Patterns for Production AI Workflows

Multi-agent AI systems are replacing monolithic LLM pipelines. Learn the key orchestration patterns—supervisor, pipeline, blackboard, and market-based—and how to choose the right one for your product.

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2026-04-18 7 min read

Building Reliable AI Agents: Patterns for Failure Recovery, Observability, and Safe Autonomy

AI agents fail in new ways. Learn the reliability engineering patterns—idempotency, circuit breakers, human-in-the-loop, and agent observability—that make autonomous AI systems safe to run in production.

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