xevrion/breakscale
Build a system, load it until it breaks, and watch why. A system design simulator for learning distributed systems.
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README & documentation
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Open Breakscale | Documentation | VS Code | MCP server | Contributing Title sponsor Workers IO (YC F26) sponsors Breakscale. Simulation environments for verifying mission-critical software. Breakscale lets you put load balancers, caches, databases, queues and 29 other components on a canvas, wire them into a system, and drag the traffic up until something gives. What you see while it happens is a real discrete-event simulation: latency percentiles climbing, queues filling, circuit breakers tripping, and whole systems collapsing into retry storms, all measured from individual simulated requests rather than drawn to look plausible. It runs in your browser, inside VS Code, and inside your AI assistant, which can read your code, draw your architecture, and tell you where it breaks. Most system design material is static diagrams and rules of thumb. "Add a cache." "Use a queue." That makes it hard to build any intuition for why p99 latency falls…
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Read the full README ↗ · Preview checked 2026-10-24T21:21:36.888Z
Inside the original README — Document outline
- Why it exists
- Three ways to use it
- In your browser
- In VS Code
- With your AI assistant
- Features
- Examples
- How the simulation works
- Run it locally
- Contributing
- Built with
- Star history
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What this repository does
Build a system, load it until it breaks, and watch why. A system design simulator for learning distributed systems.
Repository facts
- Owner
- xevrion
- Primary language
- TypeScript
- Stars
- 1,174
- Forks
- 114
- Open issues + pull requests
- 14
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2026-08-23T06:21:21.000Z
- Last push
- 2026-09-21T23:07:01.000Z
Topics and intended use
Owner-supplied topics: canvas, distributed-systems, education, learning, queueing-theory, react, simulator, system-design, teaching-tool, typescript
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Source and freshness
Source: GitHub. Metadata observed 2026-09-22T12:02:28.584Z. Daily imports are snapshots, not real-time monitoring.
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