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AI Deploy Bench
AI Deploy Bench: Benchmark of AI coding agents building web apps and deploying them to cloud platforms.
AI Deploy Bench tests AI coding agents like Claude Code as they build five kinds of web applications from written specifications and deploy them to cloud providers including Cloudish, DigitalOcean, Render, and Vercel. An independent verifier tests live deployments using HTTP, WebSocket, Server-Sent Events, and headless browsers. The system runs in GitHub Actions, measures build and deploy times, token usage, agent costs, security compliance, and expected monthly hosting costs. Results, screenshots, and security reviews are committed to the repository after every run. It is designed for developers and researchers tracking AI agent performance in software engineering and deployment tasks.
AI Deploy Bench at a glance
Key features
- Tests AI agents on five app types
- Measures completion success and build time
- Tracks token usage and agent API costs
- Evaluates security and compliance scores
- Calculates expected monthly hosting costs
- Runs automated verification via GitHub Actions
- Records human steps and time required
Use it for
- Benchmarking AI coding agent deployment success rates
- Comparing cloud provider costs and performance
- Reviewing security compliance of AI-generated apps
- Analyzing token usage and build durations for agents
Alternatives to AI Deploy Bench
- Self Bench — Evaluates coding agents on internal repository tasks instead of generic public datasets.
- Claude Code Router — It centralizes control of AI agent requests with intelligent routing and observability.
- Rigmark — Measures local AI performance with reproducible, agent-like workloads.
- pstack — Improves AI coding agent outcomes with rigorous workflows.
- AI Coding — Compare AI coding relay stations, free credits, and evaluation records.
- Claude Code Workflows — Provides pre-built, automated workflows for Claude Code development processes.
- Claude Skills Pack — 388 production-ready skills across 13 tools with zero-dependency Python tools.
- Google Agent Skills — Access pre-configured automation skills for Google Cloud and developer tools.
- Agent Skills — Encodes senior-engineer workflows and quality gates into 24 skills.
- BenchGen — It enables stress-testing AI agents in safe, simulated operational environments.
- opcode — Turns terminal Claude Code workflows into an intuitive visual interface.
- Adhdev — Orchestrates agents across machines with automated, test-gated git merging.
All AI Deploy Bench alternatives