As a developer, there are few things more anxiety-inducing than the Slack notification sound at 3:00 AM: "Production is down."
You groggily open your laptop, pull up the server logs, trace the exception through 5 different files, fix a missing try/catch
block, push the hotfix, and try to go back to sleep.
I got tired of this. As an engineer obsessed with automation, I decided to build something that solves the problem for me. Enter AutoFixer-Agent.
AutoFixer is an autonomous AI agent (built with Python) that watches your production server logs in real-time. When it detects a crash or an exception, it doesn't just alert you — it investigates the stack trace, finds the exact bug in your codebase, generates a contextual fix using LLMs, and automatically opens a Pull Request on GitHub.
You wake up to a PR waiting for review, not a broken production environment. ✅
The architecture is surprisingly simple but immensely powerful:
error.log
.main
, applies the fix locally, runs sanity checks, and pushes a new Pull Request with a detailed explanation of the bug.The hardest part wasn't generating the code — LLMs are great at that now. The hardest part was building the context window.
If a generic KeyError
happens, the LLM needs to know what dictionary it came from. A naked stack trace is not enough.
python
"Fix this error: KeyError: 'user_id'"
"Fix this error: KeyError: 'user_id'
Surrounding code (lines 45-95 of auth/handler.py):
...
def process_request(payload):
user = payload['user_id'] # <-- line 52
..."
To solve this, AutoFixer dynamically pulls in the surrounding **50 lines of code** from the file mentioned in the stack trace before sending the prompt to the AI. This gives the model enough context to write a *safe*, production-ready fix rather than a hallucinated one.
## Why This Matters
We are moving from **"AI as a pair programmer"** (GitHub Copilot) to **"AI as a DevOps team member."**
Tools like AutoFixer prove that we can delegate tedious, high-stress tasks — like 3 AM hotfixes — to autonomous systems that handle the boring parts while we sleep.
## Try it Out!
I've open-sourced the entire project! You can clone it, simulate a crash in your local logs, and watch it generate a GitHub PR in real time.
🔗 **GitHub:** [turfin-logic/autofixer-agent](https://github.com/turfin-logic/autofixer-agent)
If you're into automation, DevSecOps, or AI agents — drop a ⭐ on the repo or contribute. Let's automate the boring (and stressful) stuff together. 💪