# Generative AI, Software Development, and Career Growth for Java Developers

DevFeed: [Generative AI, Software Development, and Career Growth for Java Developers](<https://devfeed.tech/articles/hands-on-career-the-evolution-of-a-java-champion-30753.md>)

Original publisher: [Read original article](<http://blog.vanillajava.blog/2025/01/hands-on-career-evolution-of-java.html>)

Author: Peter Lawrey (noreply@blogger.com)

Published: 2025-01-24T10:27:00Z

Content type: article

Language: en

Sources: [Vanilla Java](<https://devfeed.tech/sources/vanilla-java.md>)

Topics: [Generative AI](<https://devfeed.tech/topics/generative-ai.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Programming](<https://devfeed.tech/topics/programming.md>), [Java](<https://devfeed.tech/topics/java.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [career-development](<https://devfeed.tech/tags/career-development.md>), [developers](<https://devfeed.tech/tags/developers.md>), [development-tools](<https://devfeed.tech/tags/development-tools.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [java](<https://devfeed.tech/tags/java.md>), [opinion](<https://devfeed.tech/tags/opinion.md>), [testing](<https://devfeed.tech/tags/testing.md>)

## AI overview

This article examines how generative AI may fit into software development and affect developers' career growth. It discusses the need for expertise and careful review of AI-generated results, career development, founder experience, and practical uses and limitations of generative AI.

## Source excerpt

Table of Contents Introduction Superhuman Intelligence Is Already Here ATMs Didn't Replace Bank Tellers About Me Multidimensional Growth Areas of Career Development Scope of Consideration Roles Where All Areas Are Important The Range of a Founder's Role How Will AI Change Development? How You Ask the Question Changes the Result Some key terms in understanding how Generative AI works Estimating the Value of AI-Generated Documentation AI and the Reverse Baltimore Phenomenon The Baltimore Phenomenon The Reverse Baltimore Phenomenon Filling a void Brainstorming Ideas Sample Project 2048 Using Prompts as Meta-Programming When AI is useful What Generative AI Can't Yet Do Human in the Loop Conclusion This article is background material for this talk Lessons learnt from founding my own company, and over 30 years hands-on coding Introduction Unlike most deterministic development tools, Generative AI is a productivity tool that uses a statistical model to produce results. It can be useful when used appropriately and carefully reviewed, but fundamentally, it only has a probability of being correct. Plausible results can be challenging to review unless you have expertise in the content produced. In this talk, I will explore where I see Generative AI fitting into development and how it can help developers grow their careers. I will look at practical tips and ways to consider it for development. Working with Generative AI can feel meta, so I will start with a quote about quotes: I love quotations because it is a joy to find thoughts one might have beautifully expressed with much authority by someone recognised as wiser than oneself. -- Marlene Dietrich 1901-1992 Superhuman Intelligence Is Already Here As of November 2024, the United States' El Capitan is the most powerful supercomputer in the TOP500, reaching 1742 petaFlops (1.742 exaFlops) on the LINPACK benchmarks. -- TOP500 Supercomputer Wikipedia Supercomputers have long been able to do calculations no human can, yet they can't