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# Architects, testers, and coders: Building multi-agent development teams

**[Flutter](https://daily.dev/sources/flutter)** · 8 min read · 4 upvotes · 0 comments

## Summary

An engineer documents a firsthand experiment using multi-agent AI coding teams inside Google's Antigravity Agent Hub to port the Python python-statemachine library into an idiomatic, statically typed Dart package. The workflow assigns strict, tool-enforced roles - Architect, Tester, Coder, and Coordinator - each with restricted read/write access, forming a 'cognitive firewall' that keeps context windows clean and prevents any single agent from altering both tests and implementation. It walks through adapting TDD's Red-Green cycle for a compiled language (using compilation skeletons to satisfy the compiler before real tests can run), and details friction points like accidental deletion of test utilities, Python-to-Dart spread operator mismatches, and replacing dynamic Python patterns like hasattr with idiomatic Dart callback delegates. The resulting package and skill files are shared as a reusable reference rather than a maintained library.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://flutter.dev/blog/building-multi-agent-dev-teams>

## Questions this post answers

### How can you structure a multi-agent AI coding team to avoid context window saturation on complex tasks?

Split the work into role-specific agents (Architect, Tester, Coder) managed by a Coordinator that only receives brief completion reports, discarding each subagent's trial-and-error token history once its task finishes. This 'cognitive firewall' keeps the Coordinator's context clean. Filesystem write permissions are also restricted per role: the Architect can only write to specs/, the Tester to test/, and the Coder to lib/.

_See how developers document multi-agent coding patterns like this one on daily.dev before wiring up their own agent team._

### How do you do test-driven development with AI agents in a statically typed language like Dart when the code being tested doesn't exist yet?

Use a Red Phase loop where the Tester writes tests against a specification first, then the Coder builds a compilation skeleton with class and method stubs returning dummy values or throwing UnimplementedError. Once the skeleton compiles, running dart analyze and dart test confirms tests fail for the right reason (unimplemented logic, not syntax errors), after which the Coder implements real logic to reach the Green phase.

_Developers adapting TDD for AI-assisted static-language workflows can track approaches like this on daily.dev._

## Similar posts on daily.dev

- [Learning faster with Antigravity](https://daily.dev/posts/learning-faster-with-antigravity-nrbn6efog) · Flutter · 4 upvotes · 0 comments
- [Agentic AI Engineering in Practice: How AI Engineers and Forward-Deployed Engineers Build with Claude Code, Codex, and Gemini](https://daily.dev/posts/agentic-ai-engineering-in-practice-how-ai-engineers-and-forward-deployed-engineers-build-with-claud-nj03xq7ka) · freeCodeCamp · 4 upvotes · 0 comments

---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#ai-coding](https://daily.dev/tags/ai-coding), [#dart](https://daily.dev/tags/dart), [#tdd](https://daily.dev/tags/tdd)

[View this post on daily.dev](https://daily.dev/posts/architects-testers-and-coders-building-multi-agent-development-teams-xgqgzpcsv)

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