🤖 AI Can Clone Software. What Makes a Product Worth Using?

Technical Tuesday - October 2026

AI Can Build a Software Clone. Can It Build a Product People Trust?

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What happens when AI lets you recreate parts of complex commercial software with fewer development resources?

The ArtCraft project offers a compelling example. Developer Brandon Thomas used AI coding tools to build open source alternatives to seven Adobe applications in Rust.

While the results show how quickly developers can implement substantial functionality, the applications still face significant challenges involving file compatibility, reliability, and professional workflows.

The latest article explores what this experiment means for the future of software development, from the changing economics of building competing products to the growing importance of verification, integration, security, and long-term maintenance.

Key Takeaways:

• AI Is Lowering the Barrier to Building Software: AI coding agents can accelerate implementation and prototyping, making projects that once seemed financially unrealistic more accessible to smaller teams.

• A Working Prototype Isn't a Production-Ready Product: Recreating visible features is only part of the challenge. Reliability, compatibility, security, and predictable performance remain essential.

• Competitive Advantage Goes Beyond Features: As functionality becomes easier to reproduce, integrations, established workflows, specialized knowledge, and customer trust may become even more important differentiators.

• Faster Development Requires Stronger Validation: AI-generated code still needs testing, code review, security checks, and clear ownership to ensure the resulting software behaves as expected.