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Bard now helps you code

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Summary

Google has recently updated their AI experiment, Bard, to help people with programming and software development tasks such as code generation, debugging and explanation. Bard is available in more than 20 programming languages and can be used to export Python code to Google Colab. Bard can also explain code snippets and help debug code, although users should always double-check its responses. In addition, Bard can help optimize code by making it faster or more efficient.

Q&As

What new coding capabilities has Bard added?
Bard has added code generation, code debugging, and code explanation capabilities.

How can Bard help with programming and software development tasks?
Bard can help with programming and software development tasks, including code generation, debugging and code explanation.

What languages is Bard compatible with?
Bard is compatible with more than 20 programming languages including C++, Go, Java, Javascript, Python and Typescript.

How can Bard help with debugging code?
Bard can help debug code by responding to an error message or code that doesn't do what you intended with "this code didn’t work, please fix it."

How can Bard optimize code?
Bard can help optimize code by making it faster or more efficient. Just respond to Bard’s initial output with “Could you please make that code faster?” or “Find error handling clauses you might have missed.”

AI Comments

👍 I'm so excited about the new coding capabilities of Bard! It's great to see generative AI being used to help with software development, and I'm sure it will help people solve complex engineering challenges.

👎 Although Bard can be helpful, it's important to remember that it is still an early experiment and may give inaccurate and misleading information. Always double-check its responses and carefully test and review code for errors, bugs, and vulnerabilities before relying on it.

AI Discussion

Me: It's about a new AI tool called Bard that can help people with coding and software development tasks like code generation, debugging, and explanation.

Friend: That's really cool. What are the implications of this?

Me: Well, this could make coding and software development much easier and faster, allowing people to create more complex applications in a shorter amount of time. It could also open up coding to a wider audience - people who may not have the experience or knowledge to code on their own could use Bard to help them out. However, there are some risks to this technology. Since it's still in the experimental phases, it may not always provide accurate or reliable results, so it's important to double check the code and review it carefully before using it.

Action items

Try out Bard's new coding capabilities and explore the different programming languages it supports.
Use Bard to debug code and optimize it for speed and efficiency.
Subscribe to the Google Experiment updates page to stay up to date on the latest Bard updates.

Technical terms

AI: Artificial Intelligence. AI is a type of computer technology that is designed to simulate human intelligence and behavior.
Code Generation: The process of automatically creating code from a set of instructions.
Code Debugging: The process of finding and fixing errors in computer code.
Code Explanation: The process of providing an explanation of how a piece of code works.
Google Colab: A free cloud-based platform for running and sharing Jupyter notebooks.
Open Source Project: A project that is available for anyone to use, modify, and share.
Error Handling: The process of anticipating and responding to errors in computer code.