AI in software development: From autocomplete to complete development workflows
)
AI tools are everywhere. GitHub Copilot, ChatGPT, Cursor... But honestly, do you mainly use AI as a smart autocomplete or digital search engine? If so, you're missing out on a lot of its potential.
You probably recognise this problem: you experiment with AI, but your way of working hardly changes. Code is written a little faster, but debugging remains time-consuming, quality control remains manual, and architectural choices still feel like guesswork. The result? AI feels useful, but not transformative.
Download now
In this white paper, you will discover how to use AI as a fully-fledged partner in your entire development workflow. No hype, no theory, just a practical and substantiated step-by-step plan that will enable you to build software smarter, faster and with more confidence tomorrow. Specifically, you will read more about:
AI as a reinforcement of your entire workflow. How AI helps you with research, architecture, debugging, testing, documentation and quality control.
A clear step-by-step plan for AI adoption. The phases teams go through when deploying AI and how you can continue to grow without losing productivity.
From prompt to conversation. How to ask AI better questions so that it can contribute to design choices, edge cases and maintainability.
Practical workflows for everyday use. Concrete applications for debugging, refactoring, code reviews and learning new technologies.
Assessing the quality and reliability of AI output. How to critically evaluate AI-generated code in terms of security, performance, maintainability and testing.
Who is this white paper for?
This white paper is written for professionals who want to use AI not as a gimmick, but as a structural part of their development process. Think of software developers who want to go beyond autocomplete and code snippets, or tech leads and architects who want to use AI in design decisions and quality assurance. But also development teams who want to increase their productivity without compromising on quality, and engineering managers and CTOs who want to strategically integrate AI into processes and collaboration. Whether you are just starting out with AI tools or already use them on a daily basis, this white paper will help you develop smarter, more consistently and in a future-proof way with AI.