Problem Context:
This feature is not directly tied to resolving a particular problem but aims to enhance agent generation based on user requirements.
Proposed Solution:
Enable users to provide either a Markdown or plain text file containing a collection of user stories along with any custom tools (optional: APIs, Python functions, MCP servers) they want their agent to use. By default, the coding agent will be provisioned with a standard set of tools (e.g., CrewAI tools, Python defaults) and receive setup instructions to incorporate these into the configuration automatically.
Once provided, the system should:
- Parse the supplied user stories and tool definitions.
- Automatically plan and generate an agent configuration tailored to the user's needs.
- Integrate both user-defined and default tools as applicable.
This automation will empower users to build functional agents efficiently, with minimal manual configuration.
Problem Context:
This feature is not directly tied to resolving a particular problem but aims to enhance agent generation based on user requirements.
Proposed Solution:
Enable users to provide either a Markdown or plain text file containing a collection of user stories along with any custom tools (optional: APIs, Python functions, MCP servers) they want their agent to use. By default, the coding agent will be provisioned with a standard set of tools (e.g., CrewAI tools, Python defaults) and receive setup instructions to incorporate these into the configuration automatically.
Once provided, the system should:
This automation will empower users to build functional agents efficiently, with minimal manual configuration.