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EZZY RAPPEPORTGet in touch

Ezzy Rappeport

Software Engineer / AI Systems / Founder

I build AI systems, developer tools, and product software.

Explore work

Based in California

01 / SELECTED WORK

Selected projects.

Native software and agent systems.
The decisions behind the work.Drag the artwork. Explore the case study.

Downright sculpted cream and blue app icon
Downright's actual native document view
Inside the editorOne source buffer. Reading, editing, and Finder.

macOS · Available now

Markdown, treated like a Mac document.

I built the native document experience, exact-source editing, and Finder integration.

Creator & EngineerInside the editor
MonkeyClaw geometric monkey mark
Recorded demo fixture

MC-2026-0001

A backup request crossed the sandbox boundary.

Finding confirmedReproduction saved
Trigger
filesystem_breach
Replay
1 request
Next boundary
No patch recorded

Agent security

Tests agent sandboxes, reproduces failures, and checks that defenses leave evidence.

My contributions: native telemetry ingestion, transcript replay, and the evidence dashboard. Follow one recorded demo finding.

Engineering ContributorFollow the finding
FlowE sculpted silver app icon

iOS · Planning & focus

Coursework, calendars, and focus in one iOS app. Start with a brain dump; leave with a plan for today.

A native SwiftUI build with Canvas sync, real-time tasks, and offline retry.

Founder & CEOView project
Etch faceted silver pen-nib mark

Hardware design

AI-assisted hardware design where generated RTL earns its way through verification.

A saved FIFO design run with simulation, bounded-formal checks, and a proof dossier. Physical signoff pending.

Founder & EngineerView project
Argyph faceted blue A mark

Developer tools

Useful codebase context for coding agents, through one local MCP server. No cloud account required.

A released Rust CLI with 19 tools, distributed through npm, crates.io, and Homebrew.

Creator & EngineerView project

More things I’ve built

Explore GitHub

02 / A LITTLE ABOUT ME

Curiosity.
Then code.

Ezzy Rappeport

I build product interfaces and the systems that make their behavior understandable.

In Downright, that means preserving a person’s source text through reading, editing, and external changes. On MonkeyClaw, my work connected native telemetry, transcript replay, and a dashboard that keeps evidence in view. Those are different products, but the details that preserve trust matter in both.

I’m based between Los Angeles and Santa Cruz, and open to software and AI opportunities.

View résumé