Update tickets and open pull requests from an execute task
A developer's execute task updates the ticket, creates the pull request, and updates its description after they confirm; another user applies Copilot to code reviews and PR comments. ·
Done withGitHub Copilot
- What they did
- One commenter described a two-step setup: a skill that reads a Jira ticket written like a spec and turns it into a task plan, then an execute skill that takes that todo list and makes the code changes. They iterate on the plan with the LLM first, then the execute step prints the changes and waits for their confirmation before pushing; after approval, it updates the ticket, opens the PR, and rewrites the PR description. Another commenter said they use GitHub Copilot mainly for GitHub work like code reviews, PR comments, and repo tasks.
- How it went
- The thread gives workflow details, not hard performance results. The main user said they are still keeping training wheels on and do not yet let it auto-push, and they do not fully enjoy working this way.
- Worth knowing
- The catch is that this flow still pauses for human confirmation before pushing, and the person said they only might let it auto-push after more time using it.
Try it yourself with GitHub Copilot
For my current branch on [repo name], review the changes, then update ticket [ticket ID or link] with a progress summary and draft a pull request with a clear title and description. Show me the ticket update and PR description and wait for my confirmation before posting or creating anything. After the PR is open, review it and suggest comments on anything risky or unclear.
Want help getting this working? Join the Vibe Coding Academy ↗ Run by Alex Finn, who also runs this site.
Source: Reddit · Oct 4, 2026
Related use cases
Run a solo company with eight agent departments
A founder set up CEO, CFO, COO, lawyer, accountant, marketing, CTO, and improver agents that share memory and consult each other.
Build a full-stack project from scratch in Copilot agent mode
The poster built a full-stack project with Copilot agent mode using Claude 3.7 Sonnet; it needed babysitting through setup problems but eventually produced styled, working React components.
Break development work into phases for Copilot
The poster splits work into phases with explicit tasks so Copilot's agent works through development steps instead of everything at once.
Build a C compiler with a team of parallel agents
Anthropic's engineering write-up on tasking Opus 4.6 agent teams with building a C compiler.
Build a full CRM with email, video and calendar
A community member used Replit Agent over a couple of weeks to build a CRM with email integration, video sales letter recording and meeting scheduling.
Build an RFP analysis tool
The author built a simple RFP analysis tool with Replit Agent, using a Flask backend and an HTML, Tailwind and JavaScript frontend.
Get 5 like this every morning
The best things people got an AI agent to do, each with the prompt to try it.