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From Bash Script to AI-Native Go CLI in One Session

TL;DR >> A single AI session turned `scribe.sh` into `scriby`: a Go CLI with deterministic output, runtime bootstrap, and cross-platform releases. <<

We’re living in the era of just-in-time software—tools built and shipped in a single AI coding session.

I had scribe.sh. It worked, mostly. But every time someone asked “how do I run this?”, I felt that familiar shame. You know the one.

So I opened a fresh AI session and said: let’s make this real.

# The Shift

AI collapsed the build cost for tooling.

The old path: keep script forever, maybe rewrite later, maybe never ship.

The new path: keep script as behavior spec, pair with AI, ship now.

In one session, we turned scribe.sh into scriby—a Go CLI with explicit commands, deterministic JSON output, proper exit codes, and a release pipeline.

That’s the difference between “a script on my machine” and “a tool agents and humans can trust.”

# One Binary, Done

The requirement: you install one binary. No README archaeology, no dependency hell.

scriby handles the rest:

  1. Detects your platform
  2. Downloads the whisper-cli runtime from GitHub releases
  3. Pulls the model you asked for
  4. Transcribes

ggerganov’s whisper.cpp did the heavy lifting. We wrapped it in something you can call without reading a wiki.

# The Gotcha

First release shipped. Users got:

Library not loaded: @rpath/libwhisper.1.dylib

In 2026, we’re still dealing with dylib issues. Feels like 2015.

The fix: bundle fully self-contained binaries. First-run just works now.

Scripts push this pain onto users. A proper CLI absorbs it.

# Usage

scriby run --model medium --language en ./meeting.wav

# The Takeaway

Look at your ~/bin. Find the script you keep copying between machines.

If it provides real value, you can now promote it to a proper tool in hours, not weeks. One focused session.

Go build it.

Building go-to-market engines for AI-driven products with purpose. Worked with innovative startups like Numarics, Codeanywhere, Daytona, and Steel on growth strategies and market positioning. Faculty at University of Split, researching AI adoption patterns and developer tools.