Software Development medium to set up

GitHub Issue Implementation

Nightly agent that finds AI-ready GitHub issues, implements them via CloudCLI into pull requests, comments the links on issues.

Verified 2026-07-07

Developer-Engineering

What it does

Get your AI-ready GitHub issues resolved automatically every night as this agent finds them, implements the changes via CloudCLI, and opens pull requests for you. You receive immediate updates with PR links on each issue and a summary of all actions sent directly to your Telegram chat.

How it works

When it runs: On a schedule · Scheduled · daily 2:00 AM
How hands-off: Assists you, you do the final step
Setup: An afternoon · about an afternoon
Works with: GitHub, CloudCLI, Telegram

Tools that fit

Services

GitHub : Fetch open issues and create pull requests

Telegram : Send run summaries and comments

api

CloudCLI : Implement code changes and open PRs

Watch out for

The LLM might hallucinate incorrect imports or functions, so add a static analysis step before committing code.
GitHub API rate limits can block the run, implement exponential backoff for retry logic on failed requests.
Telegram notifications may fail if the chat ID is invalid, verify the target chat ID during the initialization phase.
Branch naming collisions can occur in parallel runs, append a unique timestamp or issue number to every new branch name.

Seen in the wild

n8n: Implement AI-ready GitHub issues with CloudCLI and Telegram summaries template

Want this running in your business?

This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.

Get in touch

Who it's for

Built for developers who want the busywork around code automated, not the code itself.

Frequently asked questions

Who is this for?

developers and engineers, or anyone doing software development work who wants this handled automatically rather than manually.

How long does it take to set up?

An afternoon: plan for about an afternoon to get it running end to end.

Related use cases

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