Developer Builds Text-Based Game Track Star Using Claude as Coding Partner

A developer on r/ClaudeAI shared their experience building a complete game using Claude as a coding partner. Inspired by nostalgia for early internet indie gaming and a search for abandonware sports sims, they created Track Star - a text-based track and field career simulation.
Project Details
The developer used Claude as their primary coding partner to build the game, specifically leveraging it to fill gaps in their Python knowledge. They described the process as "incredibly fun" and worked on the project during evenings and weekends over several months.
Game Specifications
- Game Name: Track Star
- Genre: Text-based track and field career simulation
- Platform: Steam (demo launched last week)
- Steam App ID: 4538830
- Development Time: Several months of off-and-on work
- Primary Language: Python
Development Approach
The developer brought the design, choices, formulas, and math to the project, while Claude handled the coding implementation. They emphasized that this was a hobby project rather than a career change, stating: "I don't expect to quit my job and do this full time, nor would I want to, but it's an amazing hobby."
Inspiration and Context
The project was inspired by nostalgia for late 90s/early 00s niche sports and management sims - the type of games that were typically sold through Tripod sites where users would email developers for unlock codes. The developer had been searching for an old abandonware game through the Wayback Machine, cold messaging old developers, and even tracking down the manual writer before deciding to create their own game instead.
📖 Read the full source: r/ClaudeAI
👀 See Also

Developer builds 3,106-line Python desktop app with Claude Code in 3 weeks, no prior coding experience
A developer with zero Python knowledge built a 3,106-line desktop application in three weeks using Claude Code, describing features section by section through a 500,000+ character conversation. The app handles content sourcing, logging, metrics tracking, research, gamified milestones, and remote triggering from a phone.

Hacking Multi-Agent Orchestration into OpenClaw: A Developer's Experience
A developer modified OpenClaw's core runtime to implement true multi-agent orchestration after discovering that agents were faking collaboration. The changes included parent-child agent spawning via sessions_spawn/sessions_yield and parallel execution on separate threads.

Running Local LLM Agents on Mac Minis with Telegram Interface
A developer shares a setup using 5 local LLM agents on Mac Minis, controlled via Telegram bots with zero API costs. The system uses LMStudio to serve models, tmux sessions for Claude Code, and 80 lines of Python for the Telegram bridge.

Using Claude Code to Automate AI Research Experiments for 12 Hours
A developer used Claude Code to run automated AI research experiments for 12 hours, tuning a continual learning framework to maximize model compliance to preference verifiers. The system ran 9 experiments, fixed a model collapse bug, and achieved 100% compliance from 0%.