Game developer uses OpenClaw for automated feedback collection and code refactoring

A game developer has detailed their setup using OpenClaw as a background service (LaunchAgent) on a MacBook to manage two development projects. The system connects Claude (Anthropic's model) to Discord servers and Telegram for direct interaction and autonomous task execution, with all memory stored locally in Markdown files that are read on startup.
Heretical Project: Automated Player Feedback Collection
For the Steam game Heretical, the developer has configured an automated nightly workflow that runs at 11 PM:
- Pulls recent messages from key Discord channels (suggestions, discussion, feedback, bug-reports)
- Fetches recent Steam reviews via the Steam API
- Searches Reddit and the web for mentions
- Cross-references against known issues (camera rotation, onboarding, missing SFX, etc.)
- Writes a dated Markdown report to a local Obsidian vault
- Commits and pushes the report to a private GitHub repo
- Posts a summary to a Discord #monitoring channel
This provides a daily digest of player feedback without manual monitoring.
Duskland Project: Autonomous Code Development and Refactoring
For the TypeScript project Duskland, the developer uses a "vibecoded" approach where they define desired outcomes and let the system handle implementation. The workflow includes:
A specific prompt posted to Discord when the system restarts:
Summarize the request and split it into tasks. You send the summary back to the chat immediately and a confirmation that you'll spin up claude code with claude opus 4.6 for each of the tasks. You start claude code with opus 4.6 and execute one task after the other. Every 5-10 minutes you report back here with the status update - how's it going, if claude code is running or it timed out (and restart it if it timed out). Once it's done, you do a final report here with the results. Claude should build it locally to verify that the build isn't broken and so that I can check it in the browser. Push the changes to the git repository.
Additionally, an autonomous refactor pass runs at 5:30 AM nightly:
- Checks for new commits since the last refactor (skips if nothing new)
- Runs Claude Opus to analyze the codebase and identify 1-3 small, focused refactor tasks
- Executes each task one at a time with Claude Code (also Opus), committing after each one
- Runs
tscandnpm run buildto verify nothing broke — reverts if it does - Saves a summary, then at 9 AM posts a refactor report to Discord
Maintenance and Backup
The system includes automated maintenance:
- 4:00 AM - Bot updates itself: pulls latest OpenClaw, skills, and plugins, then restarts
- 4:30 AM - Backs up all config, memory files, workspace, and cron definitions to a private GitHub repo
Daily Interaction and Infrastructure
Day-to-day interaction happens through Discord chat, where the developer can ask about player feedback, draft posts, check recent commits, or review overnight activities. The system maintains persistent memory across sessions via local Markdown files and runs on existing hardware with no cloud subscription beyond API costs. The developer uses a premium Anthropic subscription with Claude Sonnet for chats and Claude Opus for code edits.
📖 Read the full source: r/openclaw
👀 See Also

Using AI to Untangle 10,000 Brazilian Property Titles: A Technical Case Study
A Brazilian real estate company is using Claude, Gemini 3.1 Pro, and OCR tools to analyze 10,000 property titles with decades of inconsistencies, including duplicate sales, fraudulent contracts, and 500 active lawsuits.

Developer Designs App Icon Using Claude AI Without Design Tools
A developer created a macOS process manager called PIDKill and designed its app icon using only Claude AI, specifically Claude Code and Claude web. The final design uses SF Mono font with a glitch effect and red strikethrough to represent process termination.

Using Claude Code to Build a Satellite Image Analysis Pipeline for Retail Predictions
A developer used Claude Code to build a complete satellite imagery analysis pipeline that pulls Sentinel-2 optical and Sentinel-1 radar data via Google Earth Engine, processes parking lot boundaries from OpenStreetMap, and calculates occupancy metrics to predict retail earnings outcomes.

Automating IRS Gambling Tax Reports with OpenClaw
A developer used OpenClaw to extract transaction data from DraftKings, FanDuel, and BetRivers, filter out bonus bets, pair wagers to payouts via balance continuity, and generate IRS-ready CSVs and PDF audit reports in a single session.