#agent fleet
44 related articles
·4 min
9 Proven Methods to Make Hermes Agent Actually Work for You
9 battle-tested methods from hundreds of hours with Hermes Agent: model selection (Opus/ChatGPT/GLM), multi-agent failover, cross-device coordination via Tailscale, and reverse prompting workflows.
Read more →
·4 min
Three Millennia of Ancient Medicine: Mercury Immortality, the Anatomy Revolution, and the Deadly Price of the Black Death
From Qin Shi Huang's mercury elixirs to Vesalius overturning Galen, to Black Death's absurd cures — three millennia of medical history reveal the lethal price of certainty without evidence.
Read more →
·6 min
A Three-Month AI Agent Learning Roadmap: From Zero to Hands-On Agent Development
A systematic breakdown of the complete AI Agent learning roadmap, covering prompt engineering, the ReAct paradigm, memory mechanisms, and multi-agent collaboration, with hands-on project advice.
Read more →
·4 min
ctx: An Open-Source Tool for Searching Your Local AI Coding Assistant History
ctx is a local-first open-source tool that lets developers search and reuse conversation history from Claude Code, Cursor, and GitHub Copilot without uploading data to the cloud.
Read more →
·2 min
Sazabi Backed by The Agent Fund: AI Agent Space Enters a New Phase of Competition
The Agent Fund publicly backs AI startup Sazabi, reflecting the capital frenzy around AI Agents. A breakdown of the team, the fund, and the shift from conversational to autonomous AI.
Read more →
·6 min
Gas Town: A Multi-Agent Workspace Manager Built in Go
Gas Town is an open-source multi-agent workspace manager built in Go with 16,000+ GitHub Stars. This article analyzes its architecture, Go language advantages, and typical multi-agent collaboration scenarios.
Read more →
CueBench: A Benchmark Tool That Measur…
·2 min
CueBench: A Benchmark Tool That Measures How Well You Drive Coding Agents
CueBench for Developers is the first benchmark that evaluates how well humans drive coding agents, shifting focus from model performance to developer prompting skills and human-AI collaboration.
Read more →
·5 min
AI-Native Team Practices: How Anthropic Engineers Achieved an 8x Productivity Boost
Anthropic's Fiona Fung shares how AI tools drove an 8x increase in engineer code output, and how AI-native teams are rethinking management, quality, and collaboration.
Read more →
·4 min
Spotify's AI in Practice: How 3,000 Engineers Are Reinventing R&D with Agents
Spotify's real engineering story: 99% of engineers use AI coding tools, PR frequency up 76%, 2.5M automated maintenance PRs merged. How Honk, FleetShift, and Backstage work together to drive AI Agent adoption at scale.
Read more →
·7 min
AI Agent Development: A Four-Stage Competency Model from 15K to 40K RMB Salary Growth Path
A detailed four-stage competency model for AI Agent development: from Python/RAG basics (15K) to workflow orchestration (20K), inference optimization (30K), and Agent cluster governance (40K RMB).
Read more →
Unified MCP Endpoint: Building Agent A…
·2 min
Unified MCP Endpoint: Building Agent Architecture with Progressive Disclosure
A reference architecture for AI agents: converge Skills, Files, Memory, and Generation into a single MCP endpoint using progressive disclosure, unified API keys, and a shared credit balance.
Read more →
·3 min
AI Agent Core Principles Fully Explained: Decision Loops and the Three Key Components in Practice
A deep dive into AI Agent core principles: the Perceive-Plan-Act-Observe decision loop, plus Planning, Memory, and Tools — the three key components explained with practical examples.
Read more →
·2 min
OpenAI's Cash Black Hole: Why $40 Billion in Funding Still Isn't Enough
OpenAI projects $143B in cumulative losses. Microsoft's investment is largely Azure credits, not cash. Only 2 of 11 founders remain. A deep analysis of OpenAI's funding crisis and likely acquisition.
Read more →
·2 min
Ben James on Creativity: Why Silly Ideas Are the Key to Innovation
Maker Ben James shares why silly ideas are essential to creativity. Explore how experimentation, playfulness, and purposeless exploration drive real innovation breakthroughs in the AI era.
Read more →
Product Reviews·1 min
Cursor 3.0 Deep Dive: Multi-Agent Parallelism, Design Mode & Best-of-N Model Comparison
Cursor 3.0 evolves from an AI coding assistant into an Agent fleet command center. Deep dive into multi-agent parallelism, Design Mode, and Best-of-N model comparison.
Read more →
Product Reviews·1 min
Cursor 3.0 Deep Dive: Multi-Agent Parallelism, Design Mode, and Best-of-N Model Comparison
Cursor 3.0 evolves from an AI coding assistant into an Agent fleet command center. Explore multi-agent parallelism, Design Mode, and Best-of-N model comparison.
Read more →
Product Reviews
How a 5-Person Team Reimagined the Ent…
·3 min
How a 5-Person Team Reimagined the Entire Software Development Workflow with Codex: A Real-World Case Study
How a 5-person fleet management team uses OpenAI Codex to revolutionize efficiency: non-technical staff build products independently, orchestrator pattern for layered scheduling, and verify-first mode for code quality.
Read more →
Product Reviews·2 min
Cursor 2.0-2.3 Core Evolution: AI Programming Enters the Era of Fleet Command
Deep dive into Cursor 2.0-2.3: multi-agent parallel programming, auto-evaluation, built-in browser, runtime debugging—pushing developers from coders to AI fleet commanders.
Read more →
Product Reviews·2 min
Minions: An Open-Source Control Center for AI Agent Parallel Task Management
Minions is an open-source task control panel for Hermes Agent, offering a unified task board, smart monitoring, auto-retry, and escalation to solve silent failures and blocking in parallel AI Agent workflows.
Read more →
Industry Insights·2 min
Google vs Codex vs Claude Code: A Deep Comparison of Three AI Coding CLI Approaches
Deep comparison of Google Gemini CLI, OpenAI Codex, and Claude Code — three AI coding tools taking divergent paths: platform OS, task queue command center, and UNIX toolchain.
Read more →