Resources
Curated videos, articles, repositories, and more for building with agentic AI — discovered and maintained by ContentScout.
Data source: Sanity · curated by ContentScout · filtered by form and kind.
11 results
Every LangSmith Deployment comes with built-in A2A (Agent-to-Agent) support, no extra configuration needed! In this video, we ...
Same model. Same benchmark. 6× the performance difference. If you are building AI agents, the orchestration code wrapping ...
Foundational explanation of how agent harnesses and memory architecture intertwine—essential for understanding persistent agent systems.
Deep dive into supervisor and swarm orchestration patterns in LangGraph with performance tradeoff analysis and production-ready implementation guidance.
How to autonomously improve agent harness performance via iterative evaluation and optimization—a key pattern for self-maintaining systems.
Launch guide for open-source agent harness deployment: how to build, host, and scale autonomous agents without vendor lock-in.
MCP runtime for production agents delivering governance, tool reliability, and authorization patterns for autonomous systems.
Pydantic AI Harness with Code Mode enables building autonomous agents using Python with structured outputs and tool integration.
Production-ready platform for building and deploying agentic workflows with visual orchestration, multi-agent coordination, and native integrations.
A 6-Gate Claude Code Pipeline for Migrating 9k RSpec Tests to Minitest — discovered by ContentScout.
Self-healing deployment pipeline that detects regressions, triages changes, and autonomously opens PRs to fix failures without manual intervention.