Multi-agent coding just got practical. Claude Code’s Agent Teams let specialized AI agents plan, code, review, and test together—always with you in the loop. See the official guide: Anthropic Docs.
What Agent Teams Do (in plain English)
They split a complex task into focused roles (Planner, Coder, Reviewer) and coordinate steps so changes are safer and faster. You approve key actions and merges.
When to Use Them
- Large refactors and repetitive edits across files
- Test coverage expansion and flaky test triage
- Framework/library migrations and API upgrades
- Codebase documentation and README improvements
- Bug reproduction, minimal repros, and fix proposals
A 10‑Minute Setup That Works
- Define the outcome: “What good looks like” (tests passing, perf unchanged, max diff size, deadline).
- Create three roles with crisp instructions:
• Planner — break down the task, list files to touch, propose a step plan.
• Coder — implement step by step, explain diffs before writing, ask for approval on risky edits.
• Reviewer — run checks/tests, spot regressions, request fixes or rollback. - Ground with context: point agents to README, architecture notes, issue link, coding standards, and constraints.
- Scope tools & access: specify which directories are in-bounds (e.g., /src) and that dependency changes need explicit approval.
- Set guardrails & gates: limit changes per step (e.g., ≤50 LOC), require human approval for merges, and always run tests before proposing a PR.
- Run a tiny task first: validate the loop on a single file or test, then widen scope.
- Measure: track time saved, review load, test pass rate, and number of rollbacks. Iterate on role prompts weekly.
Role Templates You Can Copy
- Planner: “Decompose the task into 3–6 steps. List targeted files and risks. Hand off one step at a time. Ask for approval when plan changes.”
- Coder: “Implement the current step only. Show intended diff before writing. Keep changes minimal. Ask before adding deps. Add/adjust tests.”
- Reviewer: “Run linters/tests. Block if coverage drops or perf risks appear. Suggest smallest fix or rollback. Summarize risks for human approval.”
Guardrails That Prevent Chaos
- Human-in-the-loop approvals for big edits, new dependencies, and merges
- Change limits per step (lines changed, files touched)
- Mandatory tests and lint before proposing diffs
- Clear out-of-scope areas (e.g., infra, secrets, prod configs)
- Logging and summaries for every action and rationale
- Abort on failing checks; require plan update before retry
Quick Start in Claude Code
Start with the official guide and examples: Claude Code Agent Teams. For broader context on multi-agent patterns, see Microsoft’s AutoGen.
Takeaway
Small, well-scoped Agent Teams with tight guardrails beat giant “do-it-all” prompts. Keep roles simple, review often, and expand only after wins.
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