You debug it. Or AI does.

LogNorth gives agents the same context you'd read yourself.

Open the logs. Scroll. Search. Find the error. Context-switch to code. Trace it. Fix it. Deploy. Check if it worked. That's an hour. Maybe two. 
$ agent "payments are failing in checkout"

[agent] Querying LogNorth for recent errors...
[agent] Found: Stripe::CardError in payment_service.rb:67 (23 hits, last 4m)
[agent] Stack: checkout_controller.rb:23 → payment_service.rb:67 → charge!
[agent] Reading codebase...
[agent] Root cause: live mode request with test card token
[agent] Writing fix...
[agent] Tests pass. Deploying.
[agent] Verified: 0 errors in last 5 minutes.

Done. // 4 minutes

Why this works if you're solo.

The bug is in 1 of 200 files. The stack trace is 14 frames deep. You need to cross-reference 3 log entries across 2 services. That's 45 minutes of context-loading before you write a single fix.

Your codebase fits in a context window. The agent reads your errors, traces the call stack, greps your code, and writes the patch. Small codebase isn't a limitation. It's your edge.

You do the thinking. The agent does the tracing.

What the agent reads.

The same data you'd read. Structured, queryable, no dashboard required. 

GET /api/v1/agent/issues

{
  "issues": [{
    "error":       "Your card was declined.",
    "error_class": "Stripe::CardError",
    "error_file":  "app/services/payment_service.rb",
    "error_line":  67,
    "count":       23,
    "count_24h":   8,
    "first_seen":  "2026-03-29 14:30:00",
    "last_seen":   "2026-03-29 17:02:11",
    "trend":       "up",
    "active":      true
  }]
}

Not just the error. The full trace — every step that led to it.

The full picture.

The agent follows the trace. Every request, every step, every millisecond. 

trace: req-8f3a2b

14:32:01.003  POST /checkout                         12ms
14:32:01.015  Stripe::PaymentIntent.create            847ms
14:32:01.862  SendGrid confirmation email              timeout
14:32:01.863  Stripe::CardError                      payment_service.rb:67

pattern: 23 occurrences in 4 minutes — all from /checkout
trend:   ↑ up

Steps, timing, patterns, repetitions. The agent sees the spike, reads the trace, finds the root cause.

One command to add the skill.

Give your agent the lognorth skill. It learns the API, the data model, and the debugging workflows. 

$ npx skills add karloscodes/lognorth-releases --skill lognorth

Works with Claude Code, Cursor, Codex — any agent that supports skills. Then just ask: "what's breaking in production?"

Read the error. Trace the cause. Write the fix. Verify the deploy.

Four steps. Zero tabs. Four minutes.

Set up AI debugging → See the demo →