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Creating a GitHub Issue Resolver AI Agent with Haystack

Bilge Yücel, a Developer Relations Engineer at deepset, demonstrates how to create an AI agent using the Haystack framework.
Bilge Yücel
Bilge Yücel

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AI agents are increasingly being used to automate repetitive tasks in software and data workflows, from triaging bugs to generating documentation. With frameworks like Haystack, engineers can build domain-specific agents that integrate seamlessly into their existing tools—boosting productivity and reducing manual overhead. For those looking to put AI to work in real development environments, this session offers a practical, hands-on starting point.

In this code-along interview webinar, Bilge Yücel, a Developer Relations Engineer at deepset, demonstrates how to create an AI agent using the Haystack framework. You’ll explore how to build a simple AI agent designed to automatically resolve GitHub issues, walk through a real-world case study, and learn how similar agents can be applied to streamline both software development and data science workflows. This session is ideal for AI and software engineers eager to bring intelligent automation into their daily work.

Key Takeaways:

  • Learn how to get started with the Haystack framework for building AI agents.
  • Discover how AI agents can be applied to automate GitHub issue resolution.
  • Understand how to integrate AI agents into broader software and data workflows.

Session Resources (including slides)

Temas

Artificial IntelligenceGitPythonDataLabAI Agents

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