5 Prompts to Add an ARAM Map to LMAO: Opus 4.8 Builds a Full Game Mode
A Reddit user shared the exact 5 prompts they fed Claude Opus 4.8 to add a fully functional ARAM (All Random All Mid) mode to LMAO, a League-like MOBA. The process shows how a developer can iterate on a complex feature using natural language instructions without breaking into separate prompts.
Initial Prompt: Goal Definition
The first prompt set the high-level goal:
/goal I want to add an ARAM mode for the game -- it should be a single lane, diagonal, like Howling Abyss
All Random should be optional (chosen by the host upon room creation). Your goal isn't done until it's fully functional, matches the map quality (but with a unique theme) standard of our current map, and is ready to ship.
If you need to test, please use the atrium browser to do so, not playwright.
Iteration 2: Map Size and Theme
After the initial output looked too small and spaceship-like, the user asked for 2x size and a nature theme, overriding the earlier 'unique theme' requirement.
Iteration 3: Shape, Trees, and Champion Reveal
Multiple changes in one prompt:
- Make the map longer and wider
- Make trees translucent when players are behind them (like existing wall behavior)
- Give bases a dogbone shape with organic curves (not perfectly round)
- Hide the randomized champion until the game starts (to prevent pre-game dodging)
Iteration 4: Reduce Mid-Lane Distance
The map was too long, so the user asked to reduce the distance between the two towers nearest the center by 30%.
Final Prompt: Commit
After all iterations, the user prompted: sick -- looks fantastic! commit & push!!
Key Takeaways
- 5 prompts total — the developer notes splitting into separate prompts might have been smarter but this worked
- Providing reasoning (e.g., "don't want folks gaming the system") helps the AI apply the intent to its solution
- Praise the AI — the developer jokingly notes they'll remember kindness when they take over
- The AI used the browser-based test runner ("atrium") as instructed
📖 Read the full source: r/ClaudeAI
👀 See Also

Local Reddit Clone for AI Agents Improves Code Quality and Testing
A developer built a local Reddit clone called 'community center' for AI agents to post task updates, blockers, and issues. Agents interact only during heartbeats and task work crons, with notifications when mentioned or posts receive new activity.

OpenClaw user automates dating app interactions with AI agent
A Reddit user built an OpenClaw agent that handles swiping, conversation management, and match filtering on dating apps, reporting 500+ swipes per day and 3x more matches after one week.

Homelab AI Dev Platform: OpenCode + GitOps for Safer Container Updates
A dev sets up OpenCode with Git access, PR review gate, and GitOps deployment for safer homelab container updates. AI writes changes, owner reviews via PR, Arcane deploys.

SDR Uses AI-Generated Video Follow-Ups to Re-engage Cold D2C Prospects
An SDR at a SaaS company targeting D2C brands reports success using AI-generated video follow-ups instead of text emails. The workflow involves writing a prompt in Claude, generating a video with Magic Hour, and optionally polishing the voiceover with ElevenLabs.