Library shelf · 11 notes

AI and coding agents

This shelf gathers the books and courses on AI applied to code: Claude Code, agents, MCP, model evaluation. The field moves fast and nearly all of these titles date from 2026 and they are rated more harshly than elsewhere in the library. To start, AI Engineering lays the groundwork and remains the best rated of the shelf; the Claude Code titles come next, once you already have an agent in hand.

Cover of Claude Code Enterprise Mastery: Ship Faster, Ship Safer

Claude Code Enterprise Mastery Ritesh Vajariya · 2026 A video course on locking down Claude Code for a team: deny first, enforced settings, costs, compliance, phased rollout. 5.4/10

Cover of MCP Mastery - Model Context Protocol with n8n & Claude

MCP Mastery - Model Context Protocol with n8n & Claude Yogesh Raheja · 2026 The MCP protocol explained without code (who talks to whom, what a server offers, how messages travel), then Claude wired to n8n. 6/10

Cover of 101 Claude Code Tips: A Battle-Tested Field Guide for Agentic Coding

101 Claude Code Tips Zenva Academy · 2026 A hundred and one field tips from a team that ships courses with Claude Code: the useful ones boil down to six habits. 6.2/10

Cover of Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems

Agentic Architectural Patterns for Building Multi-Agent Systems Ali Arsanjani, Juan Pablo Bustos · 2026 A catalogue of about fifty multi-agent patterns: it names failures well, and prescribes metrics without publishing any. 5.6/10

Cover of Agentic Coding with Claude Code: The everyday developer's guide to agentic coding with Claude Code

Agentic Coding with Claude Code Eden Marco · 2026 A video course turned into a book that teaches how to manage Claude Code's working memory, from CLAUDE.md to subagents. 5.4/10

Cover of Best Practices for Claude Code: Advanced Agentic Coding for Real-World Codebases

Best Practices for Claude Code Zenva Academy · 2026 A discipline course for letting Claude change existing code without rewriting half the project. 6/10

Cover of Beyond Code: Build Reliable AI-Assisted Software with Context Engineering, Mechanical Gates, and AI Agent Control

Beyond Code Jeremy McEntire · 2026 AI made writing code nearly free, not being wrong: reliability now comes from mechanical checks and sound boundaries. 6.6/10

Cover of Practical LLM Evaluation for Production Systems: Measure, monitor, and improve AI system reliability across training and inference

Practical LLM Evaluation for Production Systems Ammar Mohanna, Indrajit Kar, Zonunfeli Ralte · 2026 An operating manual for deciding when an LLM product can ship: evidence, thresholds, gates, closed loop. Solid on method, but nothing measured about the judge in the parts I read. 6.4/10

Cover of Spec-Driven Development with BMAD: Master Agentic Workflows using Cursor, BMAD, and Context Engineering

Spec-Driven Development with BMAD Marlon Vidal Ferreira · 2026 A user guide to BMAD, a framework of specs and role-playing agents: the tutorial is dated, but five feedback loops are worth the detour. 5.2/10

Cover of The Claude Code Operating Model: Build scalable AI coding systems with Skills, MCP, Hooks, agent orchestration, and SDK patterns

The Claude Code Operating Model Jia Huang · 2026 The manual that turns Claude Code from a chatty assistant into a configured system: memory, skills, subagents, hooks, CI. 6.6/10

Cover of AI Engineering: Building Applications with Foundation Models

AI Engineering Chip Huyen · 2025 Building applications on LLMs: RAG, agents, evaluation. The emerging canon of AI engineering. 8.2/10

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