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AI & ML

06 Apr 2026  ·  7 min read

How Can CTOs Prepare for AI-Assisted Coding in 2026?

AI coding assistants change how fast code gets written, not how fast it gets understood. Here is what to put in place before the whole team switches them on.

Alexander Bessudnov

KODEERA

Every engineering team we work with now uses an AI assistant somewhere in the loop. The teams that got faster were not the ones with the best model. They were the ones that had already made code cheap to review.

Review is the new bottleneck

When writing code gets cheaper, reading it becomes the constraint. Small pull requests, a fast test suite and clear ownership matter more than ever, because they decide how much generated code a team can safely absorb in a day.

  • Keep pull requests small enough to review in ten minutes.
  • Make the test suite fast enough to run on every change, locally.
  • Write down the architecture rules an assistant cannot infer from the code.

Set the rules before the habits form

Decide which code may be generated, which must be written by hand, and what has to be checked before a generated change ships. Security-sensitive paths — authentication, payments, data deletion — deserve a named human reviewer regardless of who or what wrote the change.

Topics

  • AI-assisted coding
  • Engineering leadership
  • Code review

Written by

Alexander Bessudnov

KODEERA

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