Can AI fix software bugs automatically?
Short answer
Partly, yes. My setup sends error-tracker alerts to Slack, and an agent on a separate computer picks them up and patches the bug, often without me knowing. Teammates can also drop a screen-recording link in a bugs channel. It isn't perfect yet, and it only works if errors are visible in the first place.
Bugs in my software now get fixed without me knowing about it. Not all of them, and not perfectly. But the loop works.
"It sends alerts to Slack, and Slack sends the bugs to an agent on a different computer to fix the bug. Bugs get fixed without me knowing about it."
How does the self-fixing setup work?
- An error tracker is built into the code. When something breaks, it sends an alert.
- The alert lands in Slack.
- Slack hands the bug to an agent running on a separate computer.
- The agent patches it.
People can feed the same loop. My teammates drop a screen-recording link, a short video of the bug happening, in the bugs channel, and it gets fixed. I don't even see it.
A new frontier model made this realistic within weeks. I still say it isn't perfect yet.
What has to be true first?
The errors have to be visible. On one of my products, a teammate reported that when data collection failed, there was no message at all. Repeated instructions to the AI hadn't stopped hidden errors.
"If it's not showing you an error, then that's an error, that it's not showing you an error."
My standard: every error needs a plain-English explanation shown to the user. A silent failure is itself a bug. And the fix is a check at the real boundary in the code, not repeating the instruction to the AI louder.
Why do some bugs keep coming back?
Because agents fix symptoms. On my survey software, an agent found about 14 earlier "fixes" that each tuned one query, when the real cause was an undersized database server. A $5 a month upgrade took errors from 229 per 30 minutes to zero, per the agent's report. Before any fix, make the agent name the actual error, check for a platform limit, and check whether something already solves it. More in how to know an AI fix really works.
What about things that break quietly?
Scheduled automations fail without throwing an error anyone sees. Daily SEO article pipelines across several of my sites stopped publishing for about a month, and nobody caught it. The fix was human: an operator with direct access and a check every three to five days. Not everything needs more code.
Answered by TJ Larkin. From team calls and product work in 2026. Last updated .