Juggling AI tools works until your team scales 🤹

Combining AI editors, terminal agents, custom scripts, and observability tools works well for a solo developer. Once multiple people rely on the stack, gaps appear around review load, growing costs, and unshared workflow knowledge.

• The problem: Custom scripts quickly fail as connective tissue when scaling past one engineer.

• The fix: Use a dedicated workflow layer built to link existing tools rather than bolting on another isolated app.

• Why it matters: Teams keep their favorite editors and agents while gaining clear human decision gates and accurate cost attribution.

Check out the full article to see how a shared workflow layer fits into your stack:

Why the Cursor, Claude Code, and Datadog stack breaks at scale  | Upsun

An IDE, a coding agent, some scripts, and an observability tool. It works for the first few months. Here's specifically what breaks, and why. 

upsun.com