Introducing Issue2Action: Turn GitHub Issues Into Actionable Sprint Plans with AI

GitHub is at the heart of modern software development. But anyone who's worked with it long enough knows the pain: over time, issue backlogs pile up, making sprint planning feel chaotic and manual. As indie hackers and small dev teams, we often juggle speed with clarity—and that's where things break down.

That's why I built Issue2Action — an AI-powered tool that turns messy GitHub issue backlogs into clean, actionable sprint plans, complete with pull request (PR) suggestions, granular tasks, and estimated timelines.

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📊 The Problem: GitHub Issues Are Great, Until They Aren't

Most of us use GitHub issues for everything: feature requests, bug reports, documentation TODOs, UX feedback, infrastructure tasks—you name it. But the more issues we create, the harder it becomes to:

• See what actually matters

• Group related work

• Prioritize with clarity

• Break down big ideas into tasks

• Create clear PRs with context

Sprint planning becomes hours of scrolling, labeling, guessing, and re-writing. And even then, we leave with a shaky sense of "what's next."

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🧠 The Solution: Automated Sprint Planning with Issue2Action

Issue2Action is built to solve that exact pain point. Here's what it does:

1. Connect your GitHub repo

2. Scan open issues using AI

3. Automatically group and categorize related issues

4. Generate draft PRs with titles + context-rich descriptions

5. Break down epics into granular tasks with priority and time estimates

The result? A ready-to-review sprint plan — in seconds.

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💡 How It Works

Issue2Action uses a combination of backend workflows and generative AI to convert GitHub issue chaos into clear development plans. Here’s a simplified overview of the architecture:

graph TD;
    A[GitHub Repo Connected] --> B[Fetch Open Issues];
    B --> C[Inngest Workflow Triggered];
    C --> D[Supabase Stores Issue Data];
    D --> E[Gemini Processes and Categorizes];
    E --> F[Generate PRs and Task Plans];
    F --> G[Render Plan in Next.js UI];

Key Technologies:

• Next.js – for a fast, reactive frontend

• Supabase – to store and sync GitHub issues and metadata

• Inngest – to manage long-running, async workflows

• Gemini – to analyze issues, group tasks, and generate PR templates

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💥 Code Preview: Generating PR Descriptions with AI

Here’s a rough snippet showing how we use OpenAI to generate a PR from grouped issue context:

const generatePR = async (issueGroup: Issue[]) => {
  const prompt = `You are an AI dev assistant. Given the following issues:
  ${issueGroup.map(issue => `- ${issue.title}: ${issue.body}`).join('\n')}

  Generate a concise PR title and a detailed description summarizing the goals.`;

  const response = await openai.chat.completions.create({
    model: 'gemini',
    messages: [{ role: 'user', content: prompt }],
  });

  return response.choices[0].message.content;
};

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🚀 Why This Matters

As a solo builder or a small dev team, time is your most valuable asset. Issue2Action takes the hours you'd normally spend grooming backlogs and gives them back to you — while keeping the output structured, focused, and clear.

It doesn't replace your brain or product thinking — it just automates the boring part so you can do more of the real work.

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🙌 Try It Out

We just launched on Product Hunt, and we're looking for early users and honest feedback from developers:

🔺 Upvote on Product Hunt

I'd love to know:

• How do you currently manage GitHub issue planning?

• Would this fit into your workflow?

• What's missing?

Drop a comment or shoot me a message — let’s make sprint planning actually fun again.

Happy building!

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