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Agents & MCP

Agentic patterns, subagents, MCP servers, and tool integrations.

The collection25 saves · newest AUG 23
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  1. LV.1Vercel Agent Browsers: 15x Fewer Tokens for Claude Browser Automation
  2. LV.2Why You Cannot Test an AI Feature Like Regular Code
  3. LV.3Why You Need Evals When Building with AI (LLM Output Is Unpredictable)
  4. LV.4Kanban Board for Claude Code: Drag Tasks to Trigger Multi-Agent Sessions
  5. LV.5How IBM's Enterprise AI Coding Agent "Bob" Balances Safety, Control, and Developer Trust
  6. LV.6Builder + Checker Agent Loop That Self-Fixes Until All Tests Pass
  7. LV.7Two Types of AI Loops: Deterministic vs. LLM-as-Judge
  8. LV.8Why 'Human in the Loop' Is Failing: and What Agent Accountability Looks Like
  9. LV.9Claude Tag: Claude Now Joins Your Slack as a Team Member with Its Own Permissions
  10. LV.10Clips: Free Open Source Agent-Native Alternative to Loom
  11. LV.11Subagents for Beginners: Spawning Claude Agents and 6 Formations
  12. LV.12Claude Dynamic Workflows: orchestrating parallel verifying subagents in Claude Code
  13. LV.133 Agent Harness Fixes: State Object, Validator Loop, Granular Tools
  14. LV.143 Lessons From Anthropic's Fable 5 Workshop: Outcomes, Advisor, Parallel
  15. LV.15Agentic OS Part 1: Unattended Overnight Claude Loops With Report Cards
  16. LV.16Set Guardrails Before Connecting Any Tool to Claude
  17. LV.17Three agent-engineering interview questions, and the modern way to scale to thousands of agents
  18. LV.18Seven Scoped Agents Instead of One Doing Six Jobs
  19. LV.19Knowledge Graphs Are Easy to Build Now, and That Changes Grounding
  20. LV.20From Prompt Engineering to Loop and Graph Engineering
  21. LV.21Common AI Agent Mistakes and What to Do Instead
  22. LV.22Five Agentic Design Patterns Every AI Engineer Should Understand
  23. LV.23How to Answer the Agent Latency Interview Question
  24. LV.24Five Agent Metrics That Matter More Than Accuracy
  25. LV.25Four Agent Observability Tools and the Five Things to Log