I Asked AI to Do Agile Sprint Planning (GitHub Copilot Test)

📰 Dev.to AI

Testing GitHub Copilot's ability to perform Agile sprint planning

intermediate Published 1 Apr 2026

Action Steps

Set up GitHub Copilot in Visual Studio
Define the sprint planning task and input for the AI
Evaluate the AI-generated sprint plan for completeness and accuracy
Refine the AI-generated plan based on team feedback and priorities

Who Needs to Know This

Developers and product managers can benefit from understanding the capabilities and limitations of AI in sprint planning, to improve their workflow and collaboration

Key Insight

💡 AI can generate code and assist in development tasks, but its ability to perform complex planning tasks like Agile sprint planning is still uncertain and requires human evaluation

Key Takeaways

Testing GitHub Copilot's ability to perform Agile sprint planning

Full Article

AI tools are getting very good at writing code. GitHub Copilot can generate entire functions, review pull requests, and even help refactor legacy codebases. But software development isn’t just about writing code. A big part of the process is planning the work . So I decided to run a small experiment: Can AI actually perform Agile sprint planning? Using GitHub Copilot inside Visual Studio 2026 , I asked AI to r

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