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.