From Plan to PR: Building a FastAPI Feature with BAND

2024-06-18 · Source: To Data & Beyond · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning · Depth: Intermediate, extended

Summary

This article details a multi-agent coding workflow using BAND as a coordination layer for developing a JWT authentication and role-based access control (RBAC) feature in a FastAPI application. The setup leverages Claude Code for planning and Codex for reviewing, with BAND facilitating shared context, repository access, and chat communication between agents. The process involves structured planning, iterative review, and implementation, moving from an initial design to a fully tested feature including login endpoints, token handling, protected routes, and admin-only access. This approach aims to reduce manual context-switching and copy-pasting inherent in disconnected multi-agent workflows, demonstrating how a shared environment can streamline complex software development tasks.

Key takeaway

For AI Engineers building complex features with multiple coding agents, adopting a coordination platform like BAND can significantly reduce manual overhead. You should structure your workflow to separate planning and review, allowing agents to share context and artifacts. This approach enables more disciplined development, catching design flaws before implementation and making the path from concept to code more efficient and less prone to errors.

Key insights

Coordinating multiple AI coding agents through a shared platform streamlines complex development tasks by reducing manual context transfer.

Principles

• Separate planning, review, and implementation roles.
• Utilize shared artifacts for persistent context.
• Review designs before coding to catch issues early.

Method

The workflow involves using BAND to coordinate Claude Code (planner) and Codex (reviewer) in a shared repo and chat. The planner creates a plan.md, the reviewer critiques it in review.md, and the plan is revised until approved for implementation.

In practice

• Install band-sdk[claude-sdk,codex] for multi-agent setup.
• Define persistent role instructions for agents.
• Use .env for API keys and agent_config.yaml for agent IDs.

Topics

• Multi-Agent Workflows
• BAND Platform
• Claude Code
• Codex
• FastAPI

Best for: AI Engineer, Software Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by To Data & Beyond.