36 related articles

Murmell is a cloud-first AI collaboration tool supporting Claude Code, Codex and other agents running simultaneously, using file claiming to resolve conflicts, with all output committed to Git.

Deep dive into how graph engineering uses state machines and directed graphs to constrain AI agent behavior, covering reflection, routing, human-in-the-loop, and parallel execution patterns.

Explore how graph engineering uses state machines and directed graph structures to constrain AI agent behavior, covering reflection, routing, human-in-the-loop, and parallel execution patterns.

Exploring tiling window management for multi-agent AI conversations: how it solves parallel monitoring and observability challenges, real-world limitations, and the evolution from chat boxes to control consoles.

Robynn AI is a self-learning website operations tool that uses intelligent auditing, natural language editing, and data-driven auto-rollback to solve post-launch decay issues like broken links and ranking drops.

Deep dive into how local merge queues solve code conflict challenges when multiple AI programming agents work in parallel, covering merge queue principles and multi-agent development trends.

Deep dive into how local merge queues solve code conflict challenges when multiple AI coding agents work in parallel, covering merge queue principles and multi-agent development trends.

Explore AI agent delegation boundaries: from code completion to autonomous agents across three levels, analyzing verifiability, error costs, and context to build pragmatic trust strategies.

Hubbele is an open-source note-taking app designed for both humans and AI Agents, supporting self-hosted deployment. This article analyzes its Agent-native design philosophy and implications for the future of knowledge management.

CodeWorld is a Codex-native infinite canvas plugin that lets you edit photos directly by drawing annotated leader lines. In our test, editing three spots at once only changed the marked areas while preserving overall detail—beginner-friendly, one line to install.

Anthropic engineers reveal Claude Code's 18-month evolution: system prompt cut by 80%, 65% of PRs shipped automatically by AI, Claude Tag collaboration, and the safety logic behind auto mode.
AI Agents Accelerate Lightweight USD R…
How AI agents accelerate lightweight OpenUSD runtime development for physical AI — covering spec understanding, code generation, and iterative optimization for robotics and digital twins.

Claude Code is one of the most powerful AI coding agents, running in the terminal to write code, batch operations, build web projects, and more. This guide covers installation, connecting local models via CC Switch, permission modes, CLAUDE.md, Skills, MCP, Subagents, and more.

ManagedAgents.sh is a model-agnostic managed agent platform from OpenComputer, supporting Claude, Pi, and Codex runtimes with Slack and GitHub integration.

Google lets businesses connect their Google Business Profile to Gemini, so the AI can read operating info, reviews, and business data to offer targeted marketing advice—lowering AI barriers for SMBs.

More developers are finding AI coding assistants "claim completion without execution." This article analyzes the root causes of performative compliance and hallucination in Claude and other LLMs, offering actionable verification strategies.

More developers are finding AI coding assistants "claim completion without execution." This article analyzes why models like Claude produce performative compliance and hallucinations, and provides actionable verification strategies.

Developer Simon Willison used Claude to ship sqlite-utils 4.0: 37 prompts, 34 commits, $149 API cost — revealing coding agents' real capabilities, cross-model review, and agentic engineering best practices.

Andrew Ng explains the AI Agent Planning Design Pattern: how LLMs autonomously create step-by-step execution plans using tools, with real-world examples and current limitations.

OpenAI announces Codex shortcut upgrades focused on developer workflow optimization. Analysis of upgrade directions, industry competition, and expected improvements to code completion and natural language triggers.