Founder of UseJunction
Dinuda Yaggahavita
Dinuda is building UseJunction, an open-source observability layer for the AI coding tools, models, and plans engineering teams already use. His work focuses on making fragmented AI systems visible without turning operational data into developer surveillance.
Articles
How to Check Your Team’s Usage in Claude Admin (and Pick the Right Seat for Each Person)
Where Claude Team and Enterprise admins find usage analytics, how to export the per-person spend report, what the Team plan won’t show you, and how to decide between Standard and Premium seats.
Got Into Claude for Startups? What to Track Before Your Free Team Year Ends
The Claude for Startups program gave founders a free year of Claude Team with Premium seats. Here’s what to watch during that year so renewal is an easy call.
How to See Your Team’s AI Spend: Cursor, Claude Code, Codex, and Copilot in One View
AI coding costs are spread across seats, usage-based plans, and personal accounts. Here is how to see what your team spends, who it goes to, and what is being wasted.
CodexBar for Teams: See Codex and Claude Code Limits Across Your Whole Team
CodexBar shows one developer their Codex and Claude Code limits. Here is how to get the same visibility for a whole team — usage, plan resets, spend, and seats on macOS and Windows.
Cursor Seat Waste & AI Coding Observability: UseJunction vs Jellyfish, DX, and LinearB
See Cursor, Claude, and Copilot plan usage across your team. Learn which tool answers your search — seat waste, delivery bottlenecks, DevEx, or eng-finance reporting.
What Is AI Coding Observability? Visibility Before Control
AI coding observability measures adoption, cost, model usage, reliability, and plan utilization across the tools engineering teams already use—without developer surveillance.