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# AI-Assisted Code Modernization and Migration: A Practical, Reliable Approach

**[KDAB Blog](https://daily.dev/sources/kdab)** · 7 min read · 1 upvotes · 1 comments

## Summary

KDAB shares its practical framework for using AI agents to modernize and migrate legacy codebases, contrasting it with traditional script-based migration approaches used across decades of Qt and MFC-to-Qt migrations. The piece argues against one-click AI migration services, warning that human review, testing, and team ownership remain essential regardless of AI capability. KDAB recommends a three-phase strategy: stabilization (harden the codebase first), pilot (establish patterns on a subset), and completion (scale the proven approach), emphasizing small local changes over global transformations, writing reusable agent 'skills' instead of scripts, and treating knowledge transfer to the maintaining team as critical to long-term success.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.kdab.com/using-ai-to-modernize-or-migrate-code>

## Questions this post answers

### Should I trust a one-click AI service to fully migrate my legacy codebase?

No, one-click AI migration services oversell what agents can reliably do. Even with high code coverage, agents still make mistakes, so every transformation still needs human review, targeted testing, and small, local changes rather than global automated rewrites applied across an entire codebase at once.

_Developers weighing AI migration tools against manual review can compare real-world tradeoffs on daily.dev._

### What is a good phased strategy for migrating a legacy codebase with AI agents?

A three-phase approach works well: first a stabilization phase that hardens the existing code by expanding test coverage, pruning dead code, and normalizing formatting; then a pilot phase that establishes architectural patterns and tooling on a code subset; finally a completion phase that scales the proven approach to the rest of the codebase.

_Teams planning a migration roadmap can track proven AI-assisted approaches on daily.dev._

## Community discussion

Top comments from developers on daily.dev.

**@leonidbugaev** · 0 upvotes

> I'd keep the small-slice rule even if the agent was faster. I let one rewrite a whole tree once and the suite stayed green because the old bug never got a test on the new side.

## Similar posts on daily.dev

- [AI accelerates modernization, but don’t leave human devs behind](https://daily.dev/posts/ai-accelerates-modernization-but-don-t-leave-human-devs-behind-rhzjc2nis) · The New Stack · 0 upvotes · 0 comments
- [How to Modernize a Legacy Application with AI Without Turning It Into a Rewrite](https://daily.dev/posts/how-to-modernize-a-legacy-application-with-ai-without-turning-it-into-a-rewrite-wgq9enof0) · freeCodeCamp · 2 upvotes · 0 comments

---

Tags: [#testing](https://daily.dev/tags/testing), [#ai-agents](https://daily.dev/tags/ai-agents), [#qt](https://daily.dev/tags/qt)

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