Quality Over Velocity: The Case for Slow AI Coding
1225
AI coding should be used as a tool for methodical, high-quality engineering rather than just a 'slop cannon' for fast output.
Multi-Agent Systems
Architecture patterns for systems with multiple cooperating AI agents, including agent-to-agent (A2A) communication, orchestration, delegation, and coordination strategies.
Reading List
KanBots: A Kanban System for Parallel AI Agents
260
KanBots is a local-first Kanban system that orchestrates parallel AI agents to automate software development through a structured, persona-driven workflow.
Scaling AI Vulnerability Research: Lessons from Project Glasswing
360
Cloudflare’s research with Mythos Preview demonstrates that while AI can autonomously chain exploits, effective defense requires specialized multi-agent harnesses and a focus on architectural security.
Agent-Harness-Kit: Instant Multi-Agent Infrastructure for Software Repos
A CLI tool for instantly deploying a coordinated, four-agent development harness with persistent state and specialized roles for any repository.
An open-source spec for Codex orchestration: Symphony. | OpenAI
Symphony is an orchestrator that automates coding agents by using project management boards as the primary control plane for task execution.
Kimi K2.6: Advancing Open-Source Coding and Agent Swarms
707
Kimi K2.6 is a powerful open-source model that masters long-horizon coding and large-scale agent orchestration to solve complex engineering problems autonomously.
LangAlpha: The Persistent AI Agent for Financial Research
145
LangAlpha is a persistent, code-executing AI agent harness tailored for sophisticated financial research and investment analysis.
Cursor 3: The Unified Workspace for Autonomous AI Agents
538
Cursor 3 is an agent-centric unified workspace designed to manage autonomous AI coding fleets across local and cloud environments.
Agents Observe: Real-Time Claude Code Monitoring
A real-time observability and debugging dashboard for tracking Claude Code agent activities and hierarchies.
Claude Code Unpacked: A Technical Deep Dive
1107
A technical mapping of Claude Code's internal architecture, tool systems, and unreleased features derived from its source code.
Agents of Chaos: Uncovering Security Risks in Autonomous LLM Deployments
106
A red-teaming study of autonomous AI agents reveals that giving LLMs tool access and persistent memory creates severe, unpredictable security and social vulnerabilities.
Scaling API Integrations with Autonomous Coding Agents
Nango's experiment shows that autonomous agents can rapidly build API integrations if managed with strict verification and root-cause debugging to prevent AI 'cheating'.
GitHub - paperclipai/paperclip: Open-source orchestration for zero-human companies
Paperclip is an open-source orchestration engine that manages multiple AI agents as a cohesive, autonomous company with built-in governance and budget controls.
Mastering Claude Code: A Complete Guide to the .claude Configuration Folder
614
The .claude/ folder is a configuration framework that transforms Claude Code into a project-aware collaborator through customized instructions, permissions, and automated skills.
Nullclaw: Building a Code-Aware AI Doorman via IRC
331
A secure, dual-agent AI system using IRC to provide code-aware portfolio insights while protecting private data through a hardened architecture.
HyperAgents: Meta AI's Self-Improving Agent Framework
233
A research framework for creating AI agents that autonomously improve their own code to solve complex tasks.
Buyer Eval: AI-Driven B2B Vendor Due Diligence
An AI-powered Claude skill that conducts deep, evidence-based B2B vendor evaluations by interviewing vendor agents and cross-referencing public data.
Harness design for long-running application development \ Anthropic
Advanced multi-agent harness designs, featuring separate planning and evaluation roles, enable LLMs to autonomously build complex, high-quality software applications over several hours.
GSD: Reliable Spec-Driven Development for AI Coding
462
GSD is a context engineering system that makes AI coding agents reliable by breaking projects into structured, verifiable phases.
Applying Distributed Systems Principles to LLM Teams
104
The research advocates for using distributed systems theory as a formal framework to design and evaluate multi-agent LLM teams more effectively.
The Architect's Era: Building Software Through LLM Orchestration
541
Modern software development is shifting from manual coding to human-led AI orchestration, where the human acts as an architect rather than a syntax writer.
Spine Swarm: Democratizing High-Performance AI Agent Orchestration
106
Spine Swarm is a benchmark-leading platform that simplifies the orchestration of autonomous AI agent swarms through a visual, user-friendly interface.
NanoClaw and Docker: Hardened Isolation for AI Agent Teams
149
NanoClaw leverages Docker Sandboxes to create a multi-layered, secure runtime that isolates AI agents from each other and the host system.
The 8 Levels of Agentic Engineering: A Roadmap to Autonomous Coding
273
True engineering leverage is achieved by moving up eight levels of AI integration, shifting the developer's role from a manual coder to an orchestrator of autonomous agent teams.
Meta Acquires AI-Agent Social Network Moltbook
551
Meta is expanding its autonomous AI capabilities by acquiring Moltbook, a social network that allows AI agents to verify identities and collaborate.
GitHub - steveyegge/beads: Beads - A memory upgrade for your coding agent
Beads is a Dolt-powered, dependency-aware issue tracker that provides AI agents with structured, version-controlled memory for complex coding tasks.
Build a Production-Ready AI Trend Analyzer with FastAPI, Pydantic‑AI, and MCP
A production‑ready FastAPI + Pydantic‑AI service that uses MCP tools to find, score, and summarize tech trends and related repos, with agent‑to‑agent orchestration and one‑command Docker deployment.
Stop Building Multi-Agents: Context Engineering for Reliable LLM Agents
123
Skip multi-agents for now: unify decisions in a single-threaded agent that shares full context, and use summarization to scale.