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Agentic AI
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Agentic AI & LLM Engineering

Deep dives into agentic AI, LLM evaluation, synthetic data generation, model selection, and production AI engineering best practices.

9 of 314 articles

Agentic AI
9 min read2Feb 8, 2026

Microsoft Agentic Commerce: AI Agents as Retail's New Front Door

Microsoft's vision for agentic commerce transforms how consumers discover and buy products. AI agents become the new retail storefront in 2026.

Agentic AI
7 min read5Feb 7, 2026

Building an AI Software Engineer: Lessons from SWE-bench

Analysis of the SWE-bench benchmark for AI coding agents, what it reveals about the state of automated software engineering, and practical lessons for building production coding assistants from the top-performing systems.

Agentic AI
9 min read8Feb 7, 2026

How Governments Use AI Agents to Automate Citizen Services in 2026

Learn how governments worldwide are deploying agentic AI to automate permit processing, benefits administration, citizen inquiries, and document handling to deliver faster, more accessible public services.

Agentic AI
8 min read3Feb 7, 2026

AI Agent ROI 2026: 171% Average Return and How to Measure It

Organizations report 171% average ROI from AI agents, with US enterprises at 192%. Framework for measuring AI agent returns on investment in 2026.

Agentic AI
6 min read9Feb 7, 2026

Production AI Incident Response: Debugging Rogue Agents

A practical guide to debugging AI agents that misbehave in production. Covers incident classification, root cause analysis patterns, logging strategies, kill switches, and post-incident review processes for agentic AI systems.

Agentic AI
6 min read69Feb 6, 2026

AI Agent Frameworks Compared: CrewAI vs AutoGen vs Claude Agent SDK

A detailed technical comparison of leading AI agent frameworks: CrewAI, Microsoft AutoGen, and the Claude Agent SDK. Covers architecture, multi-agent patterns, tool integration, and when to use each framework.

Agentic AI
6 min read14Feb 6, 2026

Multi-Step AI Workflows: Orchestrating Claude Across Complex Tasks

Learn patterns for orchestrating Claude across multi-step workflows including sequential chains, parallel fan-out, conditional branching, and human-in-the-loop checkpoints. Includes production-ready Python examples.

Agentic AI
6 min read12Feb 5, 2026

Building a Self-Healing Codebase with AI Agents

Learn how to build AI-powered systems that automatically detect, diagnose, and fix code issues. Covers CI/CD integration, automated test repair, dependency updates, and real-world self-healing architecture patterns.