🤔 Curiosity: Why do 90% of skills die after install? Every day, hundreds of new AI‑agent skills land on GitHub. There are 100k+ open‑source skills now. I’ve installed the shiny ones too—only to re...

🤔 Curiosity: Can RAG keep context and stay fast? Classic RAG flattens knowledge into chunks + embeddings. It’s fast, but it forgets structure—the relationships that turn documents into a system....

🤔 Curiosity: What if a skill could create itself? When I ship AI features, the slowest step isn’t model quality—it’s knowledge ingestion. Every new API or framework forces us to re‑learn, re‑docum...

🤔 Curiosity: What happens when the tool starts evaluating the developer? I’ve spent years building AI systems that evaluate players—difficulty, engagement, churn risk. But when a developer tool ev...

🤔 Curiosity: Can a codebase “drive itself” without collapsing? I’ve seen plenty of agent demos that solve one task well—but the real test is long‑horizon autonomy: can the system keep working wi...

🤔 Curiosity: Why does repo‑level documentation still feel impossible? In production, documentation isn’t about functions—it’s about systems. The bigger the repo gets, the less useful traditional d...

🤔 Curiosity: What happens when a smarter model meets a multi‑agent harness? When a new model lands and the harness changes at the same time, it’s not an incremental update—it’s a workflow rese...

🤔 Curiosity: Why do database tools for agents need a backend? In production, database access isn’t just SQL—it’s auth, pooling, schema context, and safety. Agents are great at generating queries...

🤔 Curiosity: What if “skills” are the real unit of agent scale? In production, the question isn’t “Which model is smarter?” It’s “Which workflows are repeatable?” The Awesome Claude Skills list re...

🤔 Curiosity: What if agentic training signals matter more than raw scale? In production, bigger models don’t always win. The real bottleneck is long‑horizon execution: planning, tool use, an...