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One Developer, Two Dozen Agents, Zero Alignment

Why we need collaborative AI engineering and a tour of Ace: the multiplayer coding workspace

The Agentic Systems Series - The Agentic Systems Series

Welcome to the complete guide for building AI coding assistants that actually work in production. This comprehensive three-book series takes you from fundamental concepts to implementing enterprise-ready collaborative systems.

Humans are Missing from AI Coding Agent Research

Recent progress in AI coding agent research has led to rapid improvements in agents' ability to autonomously perform complex software engineering tasks, from editing large codebases to executing long-horizon development workflows. As these systems make strides, however, the primary bottleneck to practical usefulness increasingly shifts away from pure task-solving capability, and toward challenges in how users communicate with, supervise, and trust agents. In this position paper, we argue for a reorientation from autonomous to human-centered coding agents: systems designed not only to complete tasks, but to collaborate effectively with people. We identify four core interaction-level dimensions that characterize the human-agent task-solving loop: task alignment, verifiability, steerability, and adaptability. Finally, we outline concrete research directions to advance these dimensions, including user-involved coding environments, comprehensive verification mechanisms, and principled measures of human-agent interaction quality.

Scaling long-running autonomous coding · Cursor

We've been experimenting with running coding agents autonomously for weeks at a time.

Coding Is Dead, Long Live Programming — Ian Cooper - Staccato Signals

Summary In this post, we argue that the role of a coder now belongs to a coding agent, but that the distinct role of a programmer define...

AI agents team up in Agent Laboratory to speed scientific research

Johns Hopkins University and AMD have developed Agent Laboratory, a new open-source framework that pairs human creativity with AI-powered workflows.

Running an AI-native engineering org | Claude

How the Claude Code engineering team’s processes and structure changed once agentic coding became the default way of working.

Agentic coding and persistent returns to expertise

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

Human–AI Collaboration at Scale: Task Criticality, Agency, and Friction Across 250,000 Conversations

Stanford University researchers analyzed nearly 250,000 real-world human-AI conversations from Claude.ai to understand collaborative dynamics, finding that over half of interactions involve...

10 things I learned from burning myself out with AI coding agents

Opinion: As software power tools, AI agents may make people busier than ever before.

How to harness AI

"Coding agents" are complicated but intelligible

Human scientists trounce the best AI agents on complex tasks

State-of-the-industry report finds that, despite the limitations of artificial-intelligence systems, researchers have embraced them.

Coding Agents Are Easy, Actually - Kara's Nonsense

Software engineering is here to stay