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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.
- 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.