Overview

Acme Engineering — June 2026

Monthly Spend
$4,287
+12.4% vs last month
Total Tokens
48.2M
+8.7% vs last month
Active Developers
24
+4.2% vs last month
Budget Used
71.5%
$1,713 remaining

Daily Spend by Provider

Last 7 days

Spend Distribution

By provider

Cursor
$2,140
GitHub Copilot
$1,188
OpenAI
$720
Anthropic
$239

Top Developers

By AI spend this month

DeveloperTeamSpendTokensChange
Sarah Chen
sarah@acme.com
Backend$4124.8M+18.2%
Marcus Webb
marcus@acme.com
Platform$3874.2M+5.1%
Priya Patel
priya@acme.com
Frontend$3413.9M-2.4%
James Liu
james@acme.com
Backend$2983.1M+22.7%
Alex Rivera
alex@acme.com
DevOps$2762.8M+11.3%

Efficiency Score

Based on spend vs output

79
Healthy
Cost per PR$12.40
Adoption rate87.5%
Budget pacing71.5%
Model efficiency62%

Model Usage

Cost by model

Top Repositories

By AI spend

acme/api-gateway
8 developers
$892
9.2M tokens
acme/web-app
6 developers
$654
7.1M tokens
acme/ml-pipeline
4 developers
$521
5.8M tokens
acme/mobile-sdk
5 developers
$387
4.2M tokens

AI Summary

Your team spent $4,287 on AI this month — 71% of budget with 3 days remaining.

Insights

  • Backend team accounts for 42% of total spend, driven by heavy Cursor Agent usage on api-gateway.
  • Acceptance rate for Copilot suggestions improved to 34% (+6pp vs last month).
  • claude-sonnet-4 is your most-used model at 38% of tokens — consider routing simpler tasks to haiku.
  • 2 developers (Sarah Chen, James Liu) account for 17% of spend but ship 28% of merged PRs.

Risks

  • api-gateway repo is on track to exceed its team budget by ~$340 this month.
  • 3 developers have zero AI tool adoption — potential training opportunity.

Recommendation

Set per-repo budgets for api-gateway and ml-pipeline. Route code review tasks to cheaper models. Schedule a Copilot workshop for the 3 non-adopters.