Something we have been thinking about a lot: the average employee burns roughly 3 hours every single day just reading and responding to messages. Most of it is stuff that a well trained AI, with the right context, could handle just as well. So we built…

AI coding tools like Claude Code, Cursor, and Gemini CLI have created a new category of infrastructure: agent configuration files. Developers write CLAUDE.md, .cursor/rules, GEMINI.md, and system prompts to define agent behavior — how the AI thinks abo…

AI coding tools like Claude Code, Cursor, and Gemini CLI have created a new category of infrastructure: agent configuration files. Developers write CLAUDE.md, .cursor/rules, GEMINI.md, and system prompts to define agent behavior — how the AI thinks abo…

Hey r/artificial! If you use AI coding agents — Cursor, Claude Code, GitHub Copilot, Gemini CLI — you probably know how much those configuration files matter. The instructions you give your agent define how well it understands your project. The problem…

We've been building Caliber to solve AI agent configuration management and released our full setup as open source. The response has been great — 888 GitHub stars and approaching 100 forks. Repo: https://github.com/caliber-ai-org/ai-setup The proble…

Over the past year our team and community have been building an open-source collection of AI agent configs: production-ready system prompts, tool-calling schemas, RAG setups, multi-agent orchestration patterns, and model-specific tuning files. Repo: ht…

Yo real talk we did not expect this kind of love when we open sourced our AI setup repo but here we are sitting at 800 stars and 100 forks and we are genuinely hyped about it. The repo is a collection of AI agent setups configs and workflows that you c…

Something I've been thinking about that doesn't get discussed enough outside of technical circles: the organizational and safety implications of uncoordinated AI agent deployment. Companies are shipping agents fast. Customer service agents, cod…

Cross-posting here because this problem affects everyone building with AI agents. Prompt-based guardrails fail. The model follows your system prompt in a demo, then ignores rules when context gets big or the agent chains multiple steps. We built Calibe…

Hey everyone, A while back we got frustrated with how painful it is to set up AI agents consistently. Every project had its own approach, configs were scattered, and the gap between what works locally vs in production was always a surprise. So we built…