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Agent use cases

Develop 11 C# libraries in 6 days using Claude team agents

Built 11 low-level C# libraries totaling 1.14 million lines of code from scratch in 6 days using a dual-model architecture where Claude Sonnet wrote code and Claude Opus handled planning and review, combined with multi-role agent collaboration and a 400k-token context handoff mechanism.

Reddit r/ClaudeAI/u/ai-tacocat-ia
Claude SonnetClaude Opusgit worktree

Added 2026-10-31 · originally published 2026-10-27


Steps

  1. 1Define model roles: Have Claude Sonnet write code while Claude Opus handles planning, orchestration, review, and publishing.
  2. 2Set up project planning and management agents: The project planning agent conducts design interviews, and the project management agent answers the interviews on behalf of the human and records decisions.
  3. 3Set up the build orchestration agent: Break the work into multiple units, assign each unit an independent git worktree and dedicated engineer agent, then verify and merge the results.
  4. 4Manage context overflow: When the context reaches 400k tokens, have the agent write a handoff note so a new successor agent can take over the same worktree.
  5. 5Outsource heavy testing: Run the complete test suite, benchmarks, fuzz testing, and model training on a secondary machine, with agents sharing the machine via a locking mechanism.
  6. 6Streamline prompts and workflows: Reduce unnecessary agent workflows and rules, continually refining prompts as the project progresses (dropping messages per library from 112 down to 11).
Copy-ready prompt
You are a project planning agent. Please conduct a detailed design interview for the library I am about to develop: [Library Name]. Raise critical architecture and design questions so I can clarify the requirements.
#AI Agent#Claude#C##Multi-Agent Collaboration
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Last updated 2026-11-02 12:11 (Beijing time)