The Korbit AI mentor for Software Engineering: Unlimited AI code reviews and mentoring across your team, 24/7.
In order to use this Github action, you must already have an account on mentor.korbit.ai and generated your secret id/key.
This Github action will allow you to integrate within your pipeline a Korbit AI mentor scan automatically.
Analysis in progress (1/1)
├── another_subfolder
│ ├── afile.py ⏳
│ └── afile.js ✅
└── subfolder
├── afile.py ✅
└── afile.js ✅
Analyzing files (4)... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 75% -:--:--
Analysis completed successfully! Report generation in progress...
Category: Potential Unwanted Behaviors
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━┓
┃ Error Description ┃ File Path ┃ Confidence ┃ Priority ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━┩
│ The return statement is not followed by any │ subfolfolder│ 10 │ 10 │
│ expression, so the function will always return │ /afile.js │ │ │
│ undefined. The multiplication operation 'a \* │ │ │ │
│ power' is unreachable and will never be executed. │ │ │ │
└────────────────────────────────────────────────────┴─────────────┴────────────┴──────────┘
Final report contains 1 issues We ignored 2/3.
We found some issue in the code, see final report .korbit/4150_2023-08-30T16:41:18.131624_report.html
korbit scan command failed with exit code: 91
Once you have created your secret id/keys, you will need to add them into Github Action secrets.
- KORBIT_SECRET_ID
- KORBIT_SECRET_KEY
To know how to set those secrets for your repository on Github you can follow section of Github official documentation.
Now you should be able to continue and setup your github action workflow.
name | required | type | default | description |
---|---|---|---|---|
path |
yes | string | . |
The path to the local file or folder to be scan. |
threshold_priority |
false | integer | 0 |
Issues found must be above this priority score to be presented (on a scale of 0-10). |
threshold_confidence |
false | integer | 0 |
Issues found must be above this confidence score to be presented (on a scale of 0-10). |
headless |
false | boolean | true |
Will trigger an exit code if issues have been found on the given path (interrupting the pipeline). |
headless_show_report |
false | boolean | false |
By default when the headless variable is set to true , nothing will be shown in the output logs. Setting headless_show_report variable to true will show Korbit scan report in the logs, in realtime. |
secret_id |
true | string | The given secret id generated on mentor.korbit.ai/profile | |
secret_key |
true | string | The given secret key generated on mentor.korbit.ai/profile |
The action will print the final report, including any issues detected that meet your thresholds, in the github action summary tab.
As mention in the inputs, if you are using the headless
option, the scan could exit with a 91
code. If your pipeline returns this code, it means that the pipeline will be stopped.
The following are two examples of using Korbit AI mentor in your CI/CD.
- First the scan will be run on every push you make to your repository.
- Korbit AI mentor Github application is already doing that for you by default.
- Secondly on demand, korbit will generate a scan on a specified file or folder. This is triggered manually from Github Action tab of your repository.
To create the relevant github action triggered on push, create a new workflow file .github/workflows/korbit_mentor_check_on_push.yaml
.
name: On push repository scan
on: [push]
jobs:
check_files:
runs-on: ubuntu-latest
name: An example of using the Korbit AI mentor github action
steps:
- name: Checkout
uses: actions/checkout@v3
- name: Check file using local github action
uses: korbit-ai/korbit-mentor-action@v1
id: check
with:
path: "." # Change this to the folder you want to scan
threshold_confidence: 9 # Set your own threshold (0-10)
threshold_priority: 9 # Set your own threshold (0-10)
headless_show_report: true
headless: true
secret_id: ${{ secrets.KORBIT_SECRET_ID }}
secret_key: ${{ secrets.KORBIT_SECRET_KEY }}
Note: You can setup .korbitignore
to ignore specific files/folders from being scans, see documentation.
To create the relevant github action that you can triggered manually, create a new workflow file .github/workflows/korbit_mentor_check_on_demand.yaml
.
name: Korbit mentor manual scan request
on:
workflow_dispatch:
inputs:
path:
description: "Path to scan"
default: "."
required: true
jobs:
scan-code:
name: An example of using the Korbit AI mentor github action
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Scan path
uses: korbit-ai/korbit-mentor-action@v1
id: check
with:
path: ${{ github.event.inputs.path }}
threshold_confidence: 10 # Set your own threshold (0-10)
threshold_priority: 10 # Set your own threshold (0-10)
headless: false
secret_id: ${{ secrets.KORBIT_SECRET_ID }}
secret_key: ${{ secrets.KORBIT_SECRET_KEY }}
When setting up the Korbit AI mentor Github action, you might encounter some problems. If you see that the workflow, return a certain exit code here is the explanation of what they means:
exit code | description |
---|---|
0 | Success! Korbit ran a scan, code met thresholds and pipeline completed. |
90 | Something went wrong and we don't know why, please contact support@korbit.ai. |
91 | You have set your action to run using the headless option, and Korbit AI mentor found issues in your code that are above the thresholds you set. |
92 | Something went wrong while we were analyzing your file(s), please contact support@korbit.ai. |
93 | The login credentials aren't set properly. Refer to "Secrets id/key" section or in our documentation. |