Migrate a large web application with Copilot Agents
Posted on May 15, 2025. Task: The developer attempted to migrate a large-scale web application by first using GitHub Copilot Chat, which struggled with the codebase's complexity. They switched to GitHub Copilot Agents, finding it better at processing larger applications and engaging in dynamic, prompt-driven interactions resembling virtual pair programming. The human role involved guiding the agent through prompt engineering and reviewing its actionable insights, though the process was still in early phases.; tools: GitHub Copilot. Human role: The original post does not say how a person stayed involved.; limitations: The source does not specify technical prerequisites, costs, or integration constraints for Copilot Agents. Reliability is limited to a single anecdotal account without peer review or data. Human approval and oversight are implied but not detailed, creating uncertainty about safety guardrails for automated code changes..
Tools
Published on Agent Work Atlas:
Overview
Posted on May 15, 2025
Workflow
The developer attempted to migrate a large-scale web application by first using GitHub Copilot Chat, which struggled with the codebase's complexity. They switched to GitHub Copilot Agents, finding it better at processing larger applications and engaging in dynamic, prompt-driven interactions resembling virtual pair programming. The human role involved guiding the agent through prompt engineering and reviewing its actionable insights, though the process was still in early phases.
Reported result
No measured outcomes or completion metrics are reported, as the author explicitly states they are still in the early phases of the migration journey. The only qualitative observation is that Copilot Agents made the process feel more manageable compared to Copilot Chat. Success remains unverified and anecdotal.
Human role
The original post does not say how a person stayed involved.
Limitations
The source does not specify technical prerequisites, costs, or integration constraints for Copilot Agents. Reliability is limited to a single anecdotal account without peer review or data. Human approval and oversight are implied but not detailed, creating uncertainty about safety guardrails for automated code changes.
Try it
Act as a senior developer migrating a [replaceable: large-scale web application] using GitHub Copilot Agents in VS Code. First, analyze the [replaceable: repository structure] to identify complex modules. Use Copilot Agents to propose migration steps for [replaceable: specific component], treating the interaction as a virtual pair programming session. Generate a plan and code snippets, but do not apply changes. Present the proposed changes and reasoning to me for review. I will approve or reject each step. Only proceed to the next module after my confirmation. If the agent's response is unclear, ask clarifying questions. Ensure no code is committed or deployed without my explicit 'approve' command. Start with a dry run on [replaceable: sample file] to verify the agent's context awareness before scaling up.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.