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How AI is changing the way we build software

AI coding agents have changed our delivery. Here is what is faster, what still needs senior engineers and what it means for your project timeline and budget.

Finixcode team1 min read

Since we started in 2021, the biggest change in how we work has come from AI. Coding agents now draft code, tests and documentation alongside our engineers. Here is an honest look at what that changes for clients.

What is faster

  • Prototypes: clickable prototypes and first versions in days instead of weeks
  • Boilerplate: CRUD screens, API clients and integrations
  • Tests: broader test coverage written alongside features
  • Migrations: upgrading frameworks and refactoring legacy code
  • Documentation: kept up to date as the code changes

What still needs experienced engineers

Architecture, security, data modelling, understanding your business and deciding what not to build. AI makes a strong team faster; it does not replace judgement. Every line still goes through review by a senior engineer.

What it means for your project

  • Shorter time to a first working version you can put in front of users
  • More budget left for the parts that differentiate your product
  • Higher baseline quality through more tests and documentation
  • AI-ready architecture, so adding agents later is straightforward
Build it right. Make it intelligent. AI helps with both, as long as engineers stay accountable for the result.

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