Collaborative AI Engineering: One Dev, Two Dozen Agents, Zero Alignment — Maggie Appleton, GitHub

AI Engineer · Intermediate ·🤖 AI Agents & Automation ·2mo ago

Key Takeaways

Discusses the challenges of collaborative AI engineering with multiple agents and proposes solutions for team alignment and planning

Original Description

Agentic engineering so far has been a solo story: one developer and a dozen agents moving at warp speed. But speed without thoughtful planning and team alignment is just wasting tokens. When everyone on a team is directing agents alone in their personal CLI tools with no shared context, you get duplicate work, conflicting changes, poorly-designed solutions, surprise features nobody else agreed to build, and everyone pulling in different directions. Serious software still requires serious collaboration. You need multiple perspectives and types of expertise to build great things. We need agentic environments where people can plan together, think critically together, and share the same context. In this talk I'll demo how we've tackled these design problems in Ace, a multiplayer agent environment from GitHub Next that uses real-time collaboration, proactive agents, and sandboxed micro VMs for rapid prototyping and exploration. Speaker info: - https://x.com/Mappletons
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