Programs Beat Prompts: Tap Turns AI Into a Compiler for Interface Automation
The Problem AI agents operate interfaces at $0.10/call, 2-5s latency. Every. Single. Time. The Insight Operating an interface is a solved problem the moment you figure out how. AI understands the p...
Source: DEV Community
The Problem AI agents operate interfaces at $0.10/call, 2-5s latency. Every. Single. Time. The Insight Operating an interface is a solved problem the moment you figure out how. AI understands the page once. Execution doesn't need AI. Tap: Forge Once, Run Forever forge_inspect → forge_verify → forge_save → tap.run AI analyzes AI tests AI saves $0 forever 8 core operations + 17 built-in. 3 runtimes (Chrome, Playwright, macOS). Unix pipes: tap github trending | tap tap/filter --field stars --gt 1000 tap watch github trending --every 5m 106 skills across 50+ sites. Self-healing via tap doctor. Sandbox + CI security. 199 constraint tests define the product — no spec docs, code is the spec. GitHub: https://github.com/LeonTing1010/tap This post was published using Tap itself (devto/post tap).
