8 posts with this tag.
If AI agents are going to do real work, the prompt is only one part of the setup. The interface around the AI matters more.
ICLR 2026 paper introducing ACE, a framework that treats LLM contexts as self-evolving playbooks instead of static prompts
The discipline of designing everything around an AI model that makes it reliable in production
The discipline of filling an LLM's context window with the right information for each step, replacing prompt engineering as the core AI skill
Multi-session orchestration where independent Claude instances coordinate through shared tasks and direct messaging
Modular knowledge packages Claude loads on-demand when your task matches their description
Isolated AI workers in Claude Code with their own context windows, tools, and permissions
LLMs can write code, but they're terrible at design. Here's why they default to purple gradients and three-box layouts, and what you can actually do about it.