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title: The AI Coding Trap Nobody Warns You About | daily.dev
description: Trusting AI-generated code depends entirely on your existing knowledge of the ecosystem. Using a coding agent to build a Spring Boot to-do app, a developer...
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# The AI Coding Trap Nobody Warns You About

**[Dan Vega](https://daily.dev/sources/dan-vega)** · 25 min read · 2 upvotes · 1 comments

## Summary

Trusting AI-generated code depends entirely on your existing knowledge of the ecosystem. Using a coding agent to build a Spring Boot to-do app, a developer with Java experience could spot real issues: unnecessary JPA complexity over Spring Data JDBC, missing pagination, no schema migration tool like Flyway, a custom error type instead of RFC 9457 ProblemDetail, and a Spring Boot 4 H2 console dependency change. The same developer then built an iOS app with the same agent and felt great about the result — but had no way to evaluate whether the Swift code followed best practices. The core warning: the confidence you feel when AI code 'just works' is not evidence of correctness, it's evidence of your blind spot. Recommendations include verifying unfamiliar output against docs, asking the AI to explain its choices, using AI as a learning tool rather than just a code generator, and investing in fundamentals so you can tell when the answer is wrong.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=UuM2-nRsLuA>

## Questions this post answers

### Why can't I access the H2 console in my Spring Boot 4 application even though I added the H2 dependency?

Spring Boot 4 modularized its auto-configuration, so simply including the H2 dependency no longer automatically configures the H2 console like it did in Spring Boot 3. You now need to explicitly include the H2 console dependency for the /h2-console endpoint to work, since the large auto-configuration jar that previously bundled this behavior is gone.

_daily.dev surfaces framework migration gotchas like this so Spring Boot upgrades don't break silently in production._

### Should I use Spring Data JPA or Spring Data JDBC for a new Spring Boot project?

Spring Data JDBC is often a better starting point because it avoids Hibernate's debugging complexity and lets you use immutable records instead of mutable classes, since JPA requires a no-argument constructor that forces classes. JPA still works fine, but if you don't already know how to troubleshoot Hibernate issues, JDBC reduces the risk of getting stuck when problems arise.

_developers weighing JPA against JDBC can track real-world tradeoffs like these on daily.dev before committing to an ORM._

### What fixed the virtual thread pinning issue in the JDK for applications using synchronized blocks?

JDK 24 shipped a fix for virtual thread pinning, a problem where threads using synchronized blocks could get pinned to a platform thread and lose the scalability benefits virtual threads are meant to provide. This was a significant issue at scale for applications relying heavily on synchronized code paths before the fix landed.

_teams scaling JVM services with virtual threads can follow JDK fixes like this one on daily.dev before hitting production issues._

## Similar posts on daily.dev

- [Why Java Developers Over-Trust AI-Generated Code](https://daily.dev/posts/why-java-developers-over-trust-ai-generated-code-ewcn5arji) · Foojay.io · 0 upvotes · 0 comments

---

Tags: [#java](https://daily.dev/tags/java), [#swift](https://daily.dev/tags/swift), [#ai-coding](https://daily.dev/tags/ai-coding), [#spring-boot](https://daily.dev/tags/spring-boot), [#code-review](https://daily.dev/tags/code-review)

[View this post on daily.dev](https://daily.dev/posts/the-ai-coding-trap-nobody-warns-you-about-fintn8zcv)

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