AI for software development: A reality check | Birgitta Boeckeler | LeadDev Berlin 2023

Discover the potential of AI in software development at LeadDev Berlin 2023. Learn how AI-assisted coding tools can boost productivity, improve code quality, and enhance the developer experience.

Key takeaways
  • AI-assisted coding tools like GitHub Copilot can help developers write code faster and more efficiently.
  • These tools can generate code snippets, suggest variable names, and even complete entire functions.
  • AI can also be used to generate documentation, tests, and other artifacts, which can save developers time and effort.
  • However, it’s important to remember that AI is not a silver bullet and should be used with caution.
  • AI-generated code should always be reviewed and tested before being deployed to production.
  • AI can also be used to improve the developer experience by providing in-line assistance, code search, and other features.
  • AI-assisted coding tools can be especially beneficial for onboarding new developers or for teams working on complex projects.
  • AI can also be used to generate user stories and other requirements, which can help teams to better understand and communicate their needs.
  • AI-generated documentation can be used to improve the quality and consistency of documentation, and can also be used to create documentation for new features or changes.
  • AI-generated tests can help to improve the quality and coverage of tests, and can also be used to generate tests for new features or changes.