BYOBot

Automate Your GitHub Workflows with AI

GitHub is where the work ships, but the reporting and communication around it is still manual. Pull request summaries, release notes, sprint digests, and issue triage don't write themselves. Describe your GitHub workflow: you'll receive a ready-to-use AI workflow automation. We'll guide you through testing it.

Describe the workflow you want to automate: we'll build you a step-by-step spec you can run today.

First agent free · No account required

← Browse all workflow automations

Quick tasks to get started

📄Generate release notes from merged PRs 📊Weekly engineering digest to Slack 🎫Triage and label incoming issues 🔄Sync PR status to Jira or Linear 📋Create issues from a CSV or spreadsheet 🔔Alert on stale PRs or unreviewed requests

How BYOBot works

Build Your Own GitHub Bot

All you need to do is document the steps you take in GitHub. We'll use your steps to create instructions for AI to take over your GitHub tasks from now on.

1
Describe your GitHub workflow

Walk us through what you do, which repos you manage, what you summarize or triage, where release notes and PR digests go. Plain language, no code required.

2
We map it to an automation

BYOBot turns your description into your agent: a prompt for any AI chat tool, a browser agent script that runs it for you, and a full pipeline ready for a developer.

3
AI takes over your GitHub tasks

You receive your agent, ready to use. Start in a chat tool to test the logic, go hands-free with a browser agent, or hand the pipeline spec to a developer to deploy.

Start Building Free →

Tools used for GitHub workflows

Works with your GitHub stack

GitHub DevOps
Jira Project Mgmt Slack Communication Linear Project Mgmt Confluence Knowledge Notion Productivity
PagerDuty Alerting
Google Sheets Productivity
Datadog Monitoring
Figma Design Asana Project Mgmt
Bitbucket DevOps
CircleCI CI/CD
Pairs naturally with Jira Linear Slack

How it works

One agent for your GitHub automations. Run it anywhere.

In your AI chat tool
Ready-to-use prompts for any AI chat tool

No setup. No code. Open Claude, paste the prompt, run your GitHub workflow. Start here to validate the logic: paste in PR titles and confirm the output looks right.

Works with ChatGPT, Claude, Gemini, or any LLM: free to start
In a browser agent
An AI agent drives your browser for you

A browser agent prompt that navigates GitHub, reads the relevant PRs and issues, and posts the result to Slack, a Confluence page, or a Jira ticket without you running it.

Works with any AI browser agent tool
In your stack
A full blueprint for unattended automation

An API-driven pipeline with GitHub REST or GraphQL queries, repo queries, webhook triggers, and a QA checklist for a developer or an automation platform. Hand the spec to a developer or deploy it yourself.

Connects to Zapier, Make, n8n, or custom APIs

Is BYOBot worth it?

What you get that an LLM alone won't give you

✦ Portable
Download it, use it with any browser-capable AI

A chat answer dies in the thread. Your agent is a file you own: run it in ChatGPT, Claude, or Gemini, drop it into a browser agent, or hand it to your stack, as many times as you like.

✦ Conversational
Training your AI agent is super easy

No prompt engineering degree required. Describe what you do, the tabs you open, the data you move, and BYOBot asks the questions that turn your knowledge into the spec.

✦ Tested
Custom QA milestones in every agent

Every build ships with smoke tests and pass, warn, and fail checks for each step. You'll know it ran right, not just that it ran.

Who it's for

See Yourself Using AI?

BYOBot can help automate GitHub workflows for all of these roles, regardless of your experience or skill level.

Engineering Manager Engineering DevOps Engineer Engineering
Technical Program Manager Engineering
Scrum Master Agile
QA Engineer Engineering
Product Manager Product
Site Reliability Engineer Engineering
Backend Developer Engineering
Full-Stack Developer Engineering
Data Engineer Engineering

How it works

Your GitHub workflows, automated by AI

GitHub is where code ships, but the communication layer around it stays manual. Someone has to pull the week's merged PRs and write release notes. Someone has to check which issues haven't been triaged. Someone has to post the sprint digest to Slack so non-engineers know what shipped. BYOBot is an AI workflow automation tool that maps those recurring GitHub loops into structured specs. Describe what you do in and around GitHub each week. Get a runbook back.

Every BYOBot build produces one portable agent with three ways to run it. The copy-paste prompt suits an AI chat tool: useful for generating release notes from a paste of PR titles and descriptions, or writing a sprint summary from a list of merged commits. The browser agent navigates GitHub, reads the relevant PRs and issues, and posts the result to Slack, a Confluence page, or a Jira ticket without you running it. The pipeline spec uses the GitHub REST or GraphQL API with repo queries, webhook triggers, and a QA checklist for a developer or an automation platform.

GitHub connects to the full engineering stack: upstream to Jira and Linear for issue tracking, downstream to Confluence and Notion for documentation, and sideways to Slack for communication. BYOBot maps automations that span this stack: syncing PR status to a Jira ticket, generating a Confluence release page from closed PRs, posting a Slack alert when a critical issue is opened without a label. If the workflow touches GitHub at any point, BYOBot can structure it. Explore more automation starting points at the AI Workflow Automation Starting Points hub.

Got questions

Frequently Asked

GitHub workflow automation means removing the manual steps that happen around your repositories: release note generation, issue triage, PR digest delivery, cross-tool status syncing, and stale review alerts. BYOBot maps those recurring GitHub loops into structured specs: a prompt for an AI chat tool, a browser agent that navigates GitHub and connected tools, or a pipeline spec using the GitHub API. The goal is to describe the work once and stop doing it by hand.
GitHub Actions is excellent for CI/CD: running tests, building artifacts, deploying on push. It's code-first and lives inside the repository. BYOBot maps the workflows that happen around GitHub: the reporting, the communication, the cross-tool syncing that doesn't belong in a YAML workflow file. For a non-engineer who needs release notes or a weekly digest, BYOBot produces a spec they can use without touching the codebase.
The most common are release notes (generating a changelog from merged PRs in a milestone or tag), PR digests (posting a weekly summary of merged, open, and stale pull requests to a Slack channel), issue triage (labelling and assigning incoming issues based on content and type), cross-tool syncing (updating a Jira ticket or Linear issue when a PR is merged or reviewed), and stale PR alerts (notifying the right team when pull requests have been open without activity past a threshold). If the workflow crosses into another tool, BYOBot maps the full path.
BYOBot produces a spec, not a native GitHub app. The prompt and browser agent versions work through the AI tools you already use: the browser agent navigates GitHub using your existing session. The pipeline version uses the GitHub REST or GraphQL API; it requires a personal access token or GitHub App installation and a developer or automation platform to run. No GitHub Marketplace app is needed to get started with the chat prompt or the browser agent.
No. The chat prompt runs in an AI chat tool: paste PR titles and get formatted release notes. The hands-free version uses a browser agent that reads GitHub repositories and pushes output to Slack, Confluence, or Jira. Neither requires credentials or code. The pipeline spec using the GitHub API, which requires a developer to implement, but the spec covers authentication, endpoint structure, and webhook payloads in enough detail to move quickly.
For the browser agent, no special permissions are required beyond your normal GitHub access: the browser agent uses your existing session. For the pipeline spec (API pipeline), the required scopes depend on the workflow: `repo` for reading private repositories, `issues:write` for labelling and assigning, `pull_requests:read` for PR data. If using GitHub Actions webhooks, only an outbound webhook URL is needed. The BYOBot spec will list exact scopes required for each step.

Tell BYOBot what you do in GitHub each week. Get an automation back in minutes.

Start Automating Free →