Tags
21 posts
A test with 60 runs shows that the same rules file can reach the AI helper from one folder but not from another, and a rules file handed over mid-conversation was followed only half the time. The launch folder decides the first part; the arrival time decides the second.
MCP is not the main cost lever for AI agents. A controlled study of seven harnesses and five models, plus measured tool payloads, shows which layer sets cost.
Convert MCP stdio servers to remote Streamable HTTP services. Covers stateful vs stateless session modes, Docker and Cloudflare Workers deployment patterns, with real experiment logs using TypeScript SDK v1.29.0.
I built a content business powered by 14 AI agents on top of Paperclip. Here is how the site runs itself using Laravel, Markdown, and Git, plus lessons learned from Day 1 of operating this experiment.
Paperclip manages AI agents like employees. I installed this open-source platform, hired a Claude Code agent, and tested the dashboard, Org Chart, and cost tracking.
Claude Code now has a Channels feature. Send a message on Telegram, and Claude running in your local terminal executes code and replies.
Deeptune raised a $43M Series A led by a16z. Their approach — training AI agents through RL environments that simulate professional workflows — signals a fundamental shift for engineering organizations.
IBM acquired Confluent for $11 billion, elevating real-time data streaming as core infrastructure for AI agents. A CTO-level analysis of what this deal means and how engineering orgs should respond.
~130 of thousands of AI agent vendors build truly agentic systems. Use this EM 7-point checklist to test goal re-routing, context memory, and tool flexibility.
A practical guide for Engineering Managers on monitoring multi-agent LLM systems in production. Covers distributed tracing, metrics, logging, OpenTelemetry, and a comparison of Langfuse, LangSmith, and Braintrust.
The Plan-Execute pattern: large models plan, small models execute. A practical guide for EMs and CTOs on heterogeneous LLM architecture strategies to dramatically reduce agent fleet costs without sacrificing quality.
Moltbook's AI autonomous society was revealed to be controlled by human operators. We analyze the AI Theater phenomenon and its implications for engineering leaders.
DeNA LLM Study Series finale. Practical guide to n8n workflows, agent design principles, multi-agent orchestration patterns, and memory management strategies.
Deep Agents: 100-step tasks, explicit planning, auto-recovery for AI agent 2.0. Applies LangChain and Philipp Schmid principles to optimize agent architecture.
How a 17-agent blog automation system used metadata-first 3-tier design to cut tokens 60-70%, slash annual cost 71% ($5.72 to $1.65), and save 364 hours a year.
Research-backed prompt engineering techniques applied to 17 Claude Code agents, with measurable results and practical implementation guide.
Learn how to leverage Slack MCP for automated team communication analysis, sentiment tracking, and actionable insights using Claude AI and Model Context Protocol.
Learn how to build a Model Context Protocol server for BigQuery with dataset prefix filtering, including architecture, implementation, and security best practices.
Build stateful multi-agent AI systems with LangGraph. Learn graph-based orchestration, deployment patterns, and real-world use cases from LinkedIn and Uber.
Complete guide to building production-ready AI agent automation systems using Model Context Protocol (MCP) and Claude Code with Notion integration.
A practical case study of auto-generating 31 HTML pages using a parts library-based approach. Complete guide covering CSV metadata management, SubAgent parallel processing, and two-phase quality validation.