planning

Agent swarm setup

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Build Autonomous Game Development Teams with AutoGen and Gemini 3.1 Pro

Format

Text-first

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Sections

Linked challenge

Build Autonomous Game Development Teams with AutoGen and Gemini 3.1 Pro

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines

1 sections

No variables

0 checklist items

Initialize an AutoGen GroupChat with a Coder agent using Gemini 3.1 Pro and a Reviewer agent. The Coder must interact with E2B for execution.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Preserve the role framing, objective, and reporting structure so comparison runs stay coherent.

Tune next

Swap in your own domain constraints, anomaly thresholds, and examples before you branch variants.

Verify after

Check whether the prompt asks for the right evidence, confidence signal, and escalation path.

Prompt diagnostics

Variables

Lists

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Purpose

planning

This prompt is mostly narrative and instruction-driven, so adapt examples and output constraints before you rewrite the structure.

Linked challenge

Build Autonomous Game Development Teams with AutoGen and Gemini 3.1 Pro

Develop an autonomous multi-agent swarm capable of designing and prototyping simple mobile games to ride the current vibe coding wave. Using AutoGen, you will orchestrate specialized agents that manage game logic, asset generation, and codebase refinement. These agents will leverage Gemini 3.1 Pro for high-speed generation tasks and utilize E2B for sandboxed code execution and testing. You will also integrate Upstage for structured data preparation and use StackAI to automate the orchestration of the agent lifecycle within a web-based dashboard. The challenge requires setting up a team of autonomous agents that interact through conversational interfaces, providing feedback loops for iterative game development. By automating the game creation process, you will demonstrate how modern agents can replace manual effort in rapid prototyping environments. All interactions must be governed by AutoGen agent proxy patterns to ensure stability during the build process.

Open challenge

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