1
Error and query monitoring
Something breaks. AppSignal shows you the errors, the slow queries, the deploys responsible. Dashboards ready from first deploy.
2
Issue correlation
The alert is just the symptom. AppSignal connects the error to the log, the log to the trace, the trace to the deploy. No tail -f required.
3
Production data for AI
Plug Claude, Cursor, or Zed into AppSignal. Your AI assistant queries production directly, errors, traces, and deploys, on request.
4
Editor fix workflow
AppSignal lives in your editor. Your AI pulls the error, writes the fix, opens the diff. You approve, or don't.
5
AI-generated pull requests
Your AI drafts a pull request with the real cause behind it. You review the code, then merge.
6
AI-written fixes
Stop the AI guesswork. AppSignal's MCP gives Claude, Cursor, or Zed the error, the trace, the deploy. Your AI writes a fix that fits.
7
Error tracking
Exception tracking is essential to every app. AppSignal provides all the alerts and insights you need to get errors under control. Stop playing whack-a-mole, start using AppSignal.
8
Real-time alerts
When errors happen in your application, you need to know instantly. Receive alerts through the communication tool your team uses, whether that is email, Slack, Discord, or another messaging platform.
9
Debugging data
No more guesswork: AppSignal automatically collects all the data you need to debug errors.
10
Detailed error reports
We save error details and provide you with the information to drill down to the root cause.
11
Error patterns
Look at other occurrences of the same error to discover patterns.
12
Request details
See the hostname, path, request ID and other information that was saved for this request.
13
Host information
Find out which host this error happened on, and how hardware and network were performing at the time.
14
Saved occurrences
We keep track of every occurrence of the exception, so you can inspect and compare.
