Vorflux for Slack
From a Slack conversation to a pull request
Vorflux is an AI software engineering agent. Use the Slack app to request code changes, investigate bugs, and ask questions about connected repositories.
Mention @Vorflux in a channel where the app is a member, or send the app a direct message. Describe the task and identify the repository.
Vorflux starts a session and posts progress updates and questions in the Slack thread. Reply in that thread to give more context or answer questions.
For tasks that produce a pull request, Vorflux returns the pull request link to the conversation where the task started. Review the changes before you merge.
Connect Vorflux to Slack
A Vorflux account and permission to install apps in your Slack workspace are required. Your workspace may require administrator approval.
- Sign in to Vorflux or create an account.
- Open Settings → Integrations and select Slack.
- Start the Slack connection. Select your Slack workspace, review the requested permissions, and authorize the app.
- Connect a code repository in Vorflux for coding tasks. Follow the repository connection guide.
- In Slack, invite @Vorflux to the channel where you want to use it, or open a direct message with the app.
- Send a request, such as “@Vorflux investigate the failing login test in our web repository.” Follow the replies in the thread.
Need help? Contact support.
Pricing
Vorflux is a paid service with a free trial. The Slack app does not have a separate fee. Tasks that you start from Slack use the credits of your Vorflux account.
New accounts get free signup credits after they connect a Git provider. When the free credits are used, usage is billed. Read the pricing page and the billing and credits guide.
AI accuracy notice
Vorflux uses large language models (LLMs). AI-generated responses and code may be inaccurate, incomplete, or insecure. Review responses and test generated code before use.
Privacy and data
Vorflux processes Slack conversation content and connected repository context to perform your requests. Model provider processing is subject to the applicable provider terms.
Read our LLM data processing disclosures, Privacy Policy, and Terms of Service.