dotInsights | May 2024
Did you know? When Microsoft initially started developing C#, it was internally known by the codename “Cool”, which stood for “C-like Object Oriented Language”. 😎
📜 Featured Content
Have you been wondering how to incorporate AI into your daily programming workflows or what you can use AI for as a developer? Here’s what happens when you ask that question to the JetBrains AI Assistant. Here’s the prompt: “List 10 ways developers can best use AI for their daily tasks.” Here’s the response:
“1. Programming: AI can assist developers in writing code by suggesting the completion of code and also pointing out any possible errors. Many tools use machine learning algorithms to enhance your coding efficiency.
2. Debugging: AI can help in debugging by pointing out the exact location of bugs, sometimes even predicting bugs before they become an issue. These tools can significantly reduce the time spent debugging and help to improve the quality of code.
3. Project Management: AI can help manage tasks, resources, and dependencies, helping to predict potential issues and provide insights on how best to reallocate resources to meet project deadlines.
4. Testing: AI automated tests can be better understood and reviewed. Machine learning algorithms can learn from previous test conditions and results, which results in more efficient and effective future tests.
5. Market Research: AI can track user behavior and provide information that can help developers understand where to focus their efforts when creating or updating software solutions.
6. Design: AI can automate some design tasks. For instance, it can create website layout or color palette options based on certain described parameters or it can assess a design’s usability.
7. Cyber Security: AI can be used to predict and prevent potential security threats. It can analyze patterns, understand normal behavior, and then alert if there are any deviations that might indicate a threat.
8. Maintenance: AI can monitor systems and report issues, often even predicting them before they occur. This allows developers to proactively manage system maintenance, instead of reactively dealing with issues after they occur.
9. Personal Assistant: AI can manage the day-to-day tasks of developers like setting reminders, searching for information, managing emails or appointments, etc., allowing developers to focus on their actual work.
10. Learning: AI driven learning tools can help developers to learn new programming languages, stay updated with the latest technologies, understand advanced algorithms, and so forth.
The key to successfully using AI in any of these ways is picking the right tool, setting it up properly, and then relying on it sufficiently so it can learn from the tasks it performs. That way, it continuously improves and becomes more helpful over time.”
As the last point states, AI is good for giving helpful advice when learning a new skill – in this case, learning about AI. And don’t forget the importance of good tools. There’s a lot of great tips in the list, so if you’re unsure where to start learning about coding with AI, try these: Explain and refactor code, write commits, or generate tests.
🔗 Links
Here’s the latest from the developer community.
- How to Run Docker-based .NET apps in JetBrains Rider Without “Fast Mode” – Sean Killeen
- Join me on my Unity game development journey with a fair bit of .NET webdev thrown in. – Layla Porter
- Coupling and Cohesion to Write BETTER C# CODE – Gui Ferreira
- `DefaultAzureCredentials` Under the Hood – Tore Nestenius
- Keep your project structure simple! – Derek Comartin (CodeOpinion)
- Does readonly make your code faster? – Steven Giesel
- How to use FluentValidation in ASP.NET Core – Super Powerful Validations – Mukesh Murugan
- How to upload a file with Blazor SSR in .NET 8? – Jon Hilton
- C#: How to iterate over a dictionary? – Chris Pietschmann
- C# 12: Collection expressions and primary constructors – Tom Deseyn
- Rendering Math in HTML: MathML, MathML Core, and AsciiMath – Andrew Lock
- Blazor Basics: Handling Images Dynamically – Claudio Bernasconi
- Integrating SignalR into WPF – Brian Mullen
- 10 Advanced C# Tricks for Experienced Developers – Konstantin Fedorov
- Xamarin Days Are Numbered—Are You Ready to Migrate to .NET MAUI? – Yoan Krumov
- C# 12: Default Parameters in Lambda Expressions – Thomas Claudius Huber
- Creating ico files from multiple images in .NET – Gérale Barré
- Run Phi-3 SLM on your machine with C# Semantic Kernel and Ollama – Laurent Kempé
🔦 From our .NET Guide
Each month we feature tutorials or tips from our .NET Guide.
☕ Coffee Break
Take a break to catch some social posts.
🗞️ JetBrains News
What’s going on at JetBrains? Check it out here:
We’ll be at the Microsoft Build conference! 🎉 Will you? Come and say “Hi 👋” at our booth!
- ReSharper 2024.1: Improved Handling of Collections, Collection Expressions, and Disposable Resources, New Assembly Diff Tool Window, and More
- Rider 2024.1: A Better Experience for Debugging, Performance Monitoring, and Game Development
- dotCover, dotMemory, dotPeek, and dotTrace 2024.1 Are Out!
- Exploring Collections & DataTables
✉️ Comments? Questions? Send us an email.
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