The Rise of Personal Software: How AI is Democratizing Development
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The Rise of Personal Software: How AI is Democratizing Development

Tech Essays Reporter
4 min read

A personal account of how AI coding assistants are enabling individuals to build custom software solutions that were previously impossible for non-professional developers.

I'm software bonkers: I can't stop thinking about software. And I can't stop building software.

This confession from Craig Mod, published in March 2026, captures something profound happening in the world of software development. After decades of opinionated thinking about how software should work—mainly that it should be fast, have knowable bounds, and maintain a sane contract with users—Mod found himself unable to translate those ideas into reality. He was "an OK-but-not-great coder" with limited time, and all those software opinions remained locked in his head.

Then Claude Code appeared.

Within a year, Mod had built a Twitter replacement that embodied his exact vision: posts disappearing after seven days, a strict limit of two posts per day, threaded discussions encouraged through 20 daily replies, images appearing in 1-bit black and white until clicked, and a simple reverse-chronological timeline. The result wasn't just functional—it was "really lovely" and fostered a genuine community among his membership program users.

This was just the beginning. Using Claude Code, Mod built a suite of small utilities that he uses multiple times daily: programs that append copy buffers to text files, perform live currency conversions, and auto-generate granular chapters for members-only livestream Q&As. He created a tool to index forty hours of video content, allowing members to search the archive and jump directly to specific moments.

But it was tax season that pushed him into full-blown software mania. His financial situation—multiple bank accounts across countries, constant currency juggling, freelance work for global clients, book sales through various channels, a membership program, investments, and expenses paid through different methods—made traditional accounting software inadequate. After years of pain with Quicken and Google Sheets, he decided to build his own solution.

It took five days.

TaxBot2000 handles multiple currencies with historical conversion rates, ingests any CSV file, knows US and Japanese tax requirements, reconciles international wire transfers accounting for FX rate variations, learns from categorized expenses, and provides a holistic dashboard of his entire financial life. Built in Python with Flask and SQLite, it's blazing fast, entirely local, and subscription-free. Mod hasn't opened Quicken since.

This isn't just about one person's accounting software. It's about a fundamental shift in who can create software and what that means for the future.

Mod's situation is admittedly unique—he's "a big 'ole dork with a strong, lifelong love of technology and a degree in computer science." TaxBot2000 would be mostly useless to most people because it's custom-built for his particular circumstances. But that's precisely the point: software for N of 1, damn useful to him.

The energy driving this building spree comes from money trauma—growing up without financial buffer created a mindset of extreme scarcity. TaxBot2000 represents a transmutation of that scarcity pathology into a dashboard of financial truths, both at 30,000-foot and micron levels. There's a strange lightness in finally having transparency into his finances.

What does this mean for the future of software? Mod doesn't know, and neither does anyone else. But he suspects we should be shorting a bunch of SaaS companies. Not because software is going away—new companies will replace them—but because the model of paying subscriptions for software that doesn't quite fit your needs is becoming obsolete.

We're still in the "dorks-only phase" of model-assisted programming, but Mod envisions interfaces where you drag and drop components while narrating your desires. The models perform "brainstorming," "planning," and "work"—operations that take minutes or longer today—in mere seconds tomorrow. Version numbers become pointless when everyone has their own version, with Claude Code as a partner in production.

Control over data and how we view and engage with it feels utterly non-negotiable going forward. This capability owes everything to the generosity of the open source community.

Mod's experience suggests we're entering an epochal moment in software development. If you're not playing with models like Claude, he suggests taking a peek. It's the time of building.

The implications extend far beyond one writer's accounting software. We're witnessing the democratization of software development, where AI coding assistants are lowering the barrier to entry so dramatically that anyone with clear ideas and persistence can create custom tools perfectly fitted to their needs. The future belongs to those who are software bonkers enough to build what they actually want, rather than accepting what's available.

The question isn't whether this will change software development—it's already happening. The question is how quickly the rest of us will catch up to this new reality where building your own software isn't just for professionals anymore.

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