u/SafetySouthern6397

I'm creating a custom agent in VS Code using a .github/agents/*.md file. The agent's purpose is to analyze Epic, Feature, and User Story details (acceptance criteria, business outcomes, etc.) and generate a test plan.

The problem is that the source requirements can be huge—sometimes the markdown content exceeds 5,000 lines. I'm struggling with how to handle such large context efficiently within the agent while maintaining output quality.

Has anyone built a similar GitHub/VS Code agent? How are you dealing with large requirement documents and context limits?

I'm creating a custom agent in VS Code using a .github/agents/*.md file. The agent's purpose is to analyze Epic, Feature, and User Story details (acceptance criteria, business outcomes, etc.) and generate a test plan.

The problem is that the source requirements can be huge—sometimes the markdown content exceeds 5,000 lines. I'm struggling with how to handle such large context efficiently within the agent while maintaining output quality.

Has anyone built a similar GitHub/VS Code agent? How are you dealing with large requirement documents and context limits?

I'm creating a custom agent in VS Code using a .github/agents/*.md file. The agent's purpose is to analyze Epic, Feature, and User Story details (acceptance criteria, business outcomes, etc.) and generate a test plan.

The problem is that the source requirements can be huge—sometimes the markdown content exceeds 5,000 lines. I'm struggling with how to handle such large context efficiently within the agent while maintaining output quality.

Has anyone built a similar GitHub/VS Code agent? How are you dealing with large requirement documents and context limits?

My company has an internal GPT assistant that is currently accessible only through a web portal. I'd like to use it directly within VS Code for coding assistance instead of constantly switching between the browser and the editor.

Has anyone successfully integrated a company-hosted GPT/LLM into VS Code? If so, did you use an API, custom extension, or some other approach?

My company has an internal GPT assistant that is currently accessible only through a web portal. I'd like to use it directly within VS Code for coding assistance instead of constantly switching between the browser and the editor.

Has anyone successfully integrated a company-hosted GPT/LLM into VS Code? If so, did you use an API, custom extension, or some other approach?

My company has an internal GPT assistant chat interface that is currently accessible only through a web portal. I'd like to use it directly within VS Code for coding assistance instead of constantly switching between the browser and the editor.

Has anyone successfully integrated a company-hosted GPT/LLM into VS Code? If so, did you use an API, custom extension, or some other approach?

As title suggests can someone explain me in layman terms how these new usage policy affects us ? Does it reduce our chat capability or the way we use GitHub copilot now ?