Use your Claude subscription + minimal API usage for automation.
App Store Connect → Slack (API cost: ~$2/month)
↓
Human reviews in Slack
↓
Claude Code CLI (your subscription)
↓
Post results to Slack
Create monitor_only.py:
#!/usr/bin/env python3
"""
Lightweight bot - only monitors App Store Connect
Does NOT use Claude API - just posts to Slack
"""
import os
from slack_bolt import App
from app_store_connect import AppStoreConnectClient, format_feedback_for_slack
app = App(token=os.environ["SLACK_BOT_TOKEN"])
def start_monitoring():
client = AppStoreConnectClient(
key_id=os.environ["APP_STORE_CONNECT_KEY_ID"],
issuer_id=os.environ["APP_STORE_CONNECT_ISSUER_ID"],
private_key_path=os.environ["APP_STORE_CONNECT_PRIVATE_KEY_PATH"]
)
def post_to_slack(feedback):
message = format_feedback_for_slack(feedback)
app.client.chat_postMessage(
channel="project-dev",
text=message,
blocks=[
{
"type": "section",
"text": {"type": "mrkdwn", "text": message}
},
{
"type": "actions",
"elements": [
{
"type": "button",
"text": {"type": "plain_text", "text": "🔍 Investigate with Claude Code"},
"style": "primary",
"url": f"slack://channel?team=YOUR_TEAM&id=CHANNEL_ID"
}
]
}
]
)
# Monitor for new feedback
client.poll_for_new_feedback(
"com.example.yourapp",
post_to_slack,
poll_interval=600 # Every 10 minutes
)
if __name__ == "__main__":
print("📱 Monitoring App Store Connect...")
print("💰 No Claude API usage - zero AI costs!")
start_monitoring()When a bug is posted:
-
Bot posts to Slack (no AI, just formatting)
🚨 New Review (⭐⭐) "App crashes on login" -
You investigate locally
cd /path/to/your/project claude code # Ask Claude about the issue using your subscription
-
You post results to Slack
- Copy Claude's analysis
- Post to the thread
| Approach | Monthly Cost |
|---|---|
| Full AI bot | $20-50 |
| Hybrid (monitoring only) | $0 (uses subscription) |
| Manual everything | $0 but time-intensive |
Add shortcuts to launch Claude Code:
In Slack app settings:
Shortcut: "Investigate with Claude"
Action: Opens terminal and runs:
cd /path/to/project && claude code --prompt "Investigate the issue in #thread"
You can automate these without Claude API:
# Weekly digest of all reviews
weekly_summary = collect_reviews()
post_to_slack("#project-weekly", weekly_summary)# Flag urgent issues (no AI needed)
if rating <= 2 or "crash" in review:
post_to_slack("#project-urgent", review)
notify_on_call_dev()# Auto-post beta feedback
for feedback in get_beta_feedback():
post_to_slack("#project-beta", feedback)# Check if new version is due
if days_since_release > 14:
post_to_slack("#project-dev", "⏰ Time to ship 1.3.0?")All of these are simple scripts - no AI needed!
Phase 1: Free automation
- App Store Connect monitoring
- Auto-post to Slack
- Manual investigation via Claude Code
Phase 2: Add AI only where valuable
- Keep most work in Claude Code (your subscription)
- Use API for specific automations like:
- Initial crash log analysis ($1-2/month)
- Code review summaries ($2-3/month)
Total cost: ~$3-5/month vs $20-50/month
If you're comfortable with experimental features:
- Use Claude Code's MCP support
- Connect Slack as MCP resource
- Process everything locally
This is cutting-edge but could let you use your subscription for the bot.
See: https://modelcontextprotocol.io/introduction
Recommended approach:
- ✅ Monitor App Store Connect automatically (free/cheap)
- ✅ Post to Slack for visibility (free)
- ✅ Investigate with Claude Code CLI (your subscription)
- ✅ Share findings in Slack (manual but free)
Add paid API later only if you find specific automations worth $20-50/month.
Most developers find the hybrid approach sufficient - you get 90% of the value at 10% of the cost!