2026-07-14

Power users are paying for multiple, high-end AI subscriptions to automate development and business analysis, creating a need for tools to manage AI-generated code quality and mitigate platform dependency risk.

"I was using 13 Claude Code 20x subscriptions."

Developers are paying for entire categories of tools or building complex custom stacks to manage the high cost and regulatory burden of secrets and software dependencies.

"I develop medical device software which means dependencies are very expensive because they incur regulatory burden. SBOMs and associated CVEs have to be tracked and reported to the FDA."

Creators and businesses are spending money and effort on workarounds for platform-imposed barriers, such as app store privacy rules, web vs. native feature gaps, and institutional funding processes.

"Treefort [1], the company where I work, provides a no-code cross-platform app builder (iOS, Android, web) for streaming apps, and probably the only really big feature we've noticed that browsers don't support is media downloads for offline listing/watching in an app"

Companies are paying engineers to manually document, isolate, and de-risk fragile legacy systems before attempting a replacement, indicating a need for tools to automate this discovery and migration process.

"The problem is that nobody fully understands every dependency anymore and changing the wrong thing could affect a large part of the company so for now am documenting everything, improving the backups virtualising it and isolating it before attempting replacment."