GitHub Issue Automation

Automate GitHub Issue Management with AI

Deploy an AI agent that triages, labels, assigns, and tracks every GitHub issue automatically. Cut response latency from hours to seconds and keep your engineering backlog clean — with setup in under 10 minutes.

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Impact by the Numbers

<30s
Average triage response time
85%
Reduction in manual triage effort
60%
Lower issue resolution cost
24/7
Continuous issue monitoring

Why It Matters

Engineering teams lose dozens of hours every week manually triaging, labeling, and routing GitHub issues — time that should go toward building. Without automation, critical bugs slip through SLAs and contributor experience suffers. An AI agent changes the economics of issue management entirely.

10x
Faster issue triage
24/7
Always-on coverage
70%
Cost reduction

Works With Your Stack

Connect your GitHub repositories to the tools your team already uses. Architect agents integrate natively across your entire development and communication toolchain.

GitHub GitHub
Slack Slack
Jira Jira
Linear Linear
PagerDuty PagerDuty
Notion Notion
Discord Discord
Teams MS Teams

Platform Capabilities

AI-Powered Issue Classification

The agent reads every new issue's title, body, and metadata to classify it as a bug, feature request, documentation gap, or support question. Classification accuracy improves with repository-specific training context you supply at configuration time.

Smart Assignment Routing

Based on issue type, component ownership, and current workload signals, the agent assigns issues to the correct team member or team queue. Custom routing rules accommodate your org chart, on-call rotations, and contributor tiers.

Automated Label Management

The agent applies structured labels — severity, component, type, priority — within seconds of issue creation. Labels stay consistent across your repository, making filtering and sprint planning dramatically faster.

Duplicate Detection

Using semantic similarity across your issue history, the agent identifies duplicates before they clutter your backlog. Reporters receive an automatic comment linking them to the existing thread and any workarounds already documented.

SLA Monitoring and Escalation

Define response and resolution SLAs per label or severity tier. The agent tracks age on every open issue and automatically escalates to the right Slack channel, PagerDuty incident, or email thread when thresholds are breached.

Bi-directional Jira and Linear Sync

Issue state, labels, and assignments sync bi-directionally between GitHub and your project management tool of choice. Engineers stay in GitHub; product managers stay in Jira or Linear — both views are always current.

How It Works

Step 01
Connect GitHub Repo
Authenticate with GitHub and select the repositories you want the agent to monitor.
Step 02
Configure Triage Rules
Define classification taxonomy, assignment routing logic, SLA windows, and escalation paths in plain language.
Step 03
Connect Downstream Tools
Link Slack, Jira, Linear, or PagerDuty. The agent knows where to send each issue type based on your configuration.
Step 04
Deploy and Monitor
Go live in under 10 minutes. Watch the agent triage in real time via the Architect dashboard with full audit logs.

Before vs. After Architect

Without Architect
  • Engineers spend 3-4 hours per week manually triaging new issues
  • Critical bugs sit unlabeled for hours, breaching SLAs silently
  • Mis-assigned issues cause back-and-forth delays across teams
  • Duplicate issues bloat the backlog and confuse prioritization
  • No overnight coverage — issues from contributors in other time zones wait until morning
With Architect
  • Every issue triaged, labeled, and assigned within 30 seconds of opening
  • SLA breaches caught instantly with automatic escalation to on-call engineer
  • Routing rules eliminate cross-team handoff delays and mis-assignment noise
  • Duplicate detection keeps backlog clean and reporters informed immediately
  • 24/7 global coverage — contributors in any timezone get instant acknowledgment

Agent System Prompt

This is a representative system prompt you configure inside Architect. Paste or adapt it to match your repository's taxonomy, team structure, and SLA requirements.

github-issue-agent — system prompt
Agent Active — monitoring all connected repositories 
You are a GitHub Issue Management Agent. When a new issue is opened:

1. CLASSIFY the issue as one of: [bug, feature-request, documentation, support, security].
2. ASSESS severity: [critical, high, medium, low] based on user impact, keywords, and repo context.
3. APPLY labels: type/{classification}, severity/{level}, component/{detected-area}.
4. CHECK for duplicates using semantic search across the last 90 days of issues.
   - If duplicate found: comment with link and close as duplicate.
5. ASSIGN to the correct team member using the ownership map provided.
6. POST a structured acknowledgment comment with: classification, severity, assignee, and expected SLA.
7. If severity is critical or high: send a Slack alert to #incidents and create a Jira ticket.
8. Monitor open issues every 6 hours. Escalate any issue breaching its SLA window.
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Frequently Asked Questions

How does Architect automate GitHub issue management?
Architect deploys AI agents that connect to the GitHub API via webhooks. When a new issue is opened, the agent reads its content, classifies it by type and severity, applies labels, assigns it to the right team member, and posts a structured comment — all within seconds, with no manual intervention required.
What integrations does the GitHub issue agent support?
The agent integrates with GitHub, Jira, Slack, Linear, PagerDuty, Discord, MS Teams, and email to coordinate triage workflows across your entire engineering toolchain. New integrations can be added through Architect's connector library.
Do I need to write code to set up the GitHub issue agent?
No code is required. Architect provides a no-code interface where you connect your GitHub repository, write your triage rules and assignment logic in plain language, and deploy a live agent. The typical setup takes under 10 minutes.
Can the agent handle duplicate issue detection?
Yes. The agent uses semantic similarity search across your issue history to detect duplicates. When a match is found, it automatically links the new issue to the original thread, posts a helpful comment to the reporter, and closes the duplicate — keeping your backlog clean.
Is the GitHub issue management agent suitable for large open-source repositories?
Absolutely. The agent scales to thousands of issues per day and can be configured with repository-specific triage policies, contributor tier rules, and SLA windows for first response and resolution times.

Your GitHub Backlog Should Not Run Itself on Manual Labor

Deploy an AI agent that triages, assigns, and tracks every issue automatically. Production-ready in under 10 minutes. No code required.

Start Building Free