Google Bard For Software Engineers — Cheat Sheet
Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years.
Discover all the essential prompts and learn how to leverage Google Bard to become a productive and efficient software engineer.
Crafting effective prompts for Google Bard (or similar language models) can be vital in extracting the right kind of information or action from the model.
To add more value and as a USP of my blog, at the end of this blog post, I have designed and attached a cheat sheet of the [websites/tools/prompts/courses] discussed here for you to download and share. Also, I’ll share this month’s bonus tip or best productivity tool that is cheap, effective, and a game changer, which I personally use and prefer. So do check them out and use them. Keep learning and growing.
Here is the Bonus tip for you all:
Bonus Tip: One great tool I recently started using for writing and tasks such as plagiarism checker, grammar checker, Co-writer, paraphraser, summariser, and translator is QuillBot .
I wanted to try something similar and cheaper than Grammarly.
I took up its yearly premium for around $2/month (45% off) during the Year-end sale using coupon code — (HOLIDAY45), valid till December end. The price was literally dirt cheap compared to other writing tools I have used in the past.
Personally, it’s UI and UX is very simple and easy to use. So I just wanted to share this awesome, productive tool with you all. Do check it out and use it in your day-to-day writing tasks.
Understanding & Debugging
- Explain the Code
>>>Act as a software mentor and elucidate what the specific piece of code does. [‘Python-Code’]
- Bug Finder
>>>Assist in locating and fixing bugs in the provided code segment. [‘Python-Code’]
- Optimise the Code
>>>Suggest ways to improve the code’s efficiency and speed. [‘Code-Snippet’]
Development & Best Practices
- Generate Code
>>>Produce a specific code snippet based on the given requirements. [‘Language’, ‘Requirement’]
- Refactor Code
>>>Offer a more concise or efficient version of the provided code. [‘Python-Code’]
- Code Review
>>>Conduct a mock code review and provide feedback on best practices. [‘Java-Code’]
Tools & Platforms
- VS Code Shortcuts
>>>Act as a software tool specialist and share essential VS Code shortcuts. [‘VS-Code’]
- Git Commands
>>>Provide a list of essential Git commands for daily use. [‘Git’]
- API Integration
>>>Offer guidance on integrating third-party APIs. [‘API-Name’]
Algorithms & Data Structures
- Algorithm Explanation
>>>Decode and elucidate the workings of a specific algorithm. [‘Algorithm-Name’]
- Data Structures Usage
>>>Offer insights into the effective use of a particular data structure. [‘DS-Name’]
- Optimal Solutions
>>>Suggest the optimal algorithm or data structure for a particular problem. [‘Problem-Statement’]
Frameworks & Libraries
- Django Tips
>>>Share advanced tips and best practices for Django development. [‘Django’]
- React Components
>>>Help create or optimize React components based on requirements. [‘React’]
- TensorFlow Models
>>>Guide on building machine learning models using TensorFlow. [‘TensorFlow’]
Career & Learning
- Interview Questions
>>>Share potential software engineering interview questions and answers. [‘Topic’]
- Learning Resources
>>>Recommend resources to learn a specific technology or framework. [‘Tech-Name’]
- Project Ideas
>>>Suggest innovative project ideas for a specific domain or technology. [‘Domain’]
Frameworks & Libraries
- Django Tips
>>>Share advanced tips and best practices for Django development. [‘Django’]
- React Components
>>>Help create or optimize React components based on requirements. [‘React’]
- TensorFlow Models
>>>Guide on building machine learning models using TensorFlow. [‘TensorFlow’]
Career & Learning
- Interview Questions
>>>Share potential software engineering interview questions and answers. [‘Topic’]
- Learning Resources
>>>Recommend resources to learn a specific technology or framework. [‘Tech-Name’]
- Project Ideas
>>>Suggest innovative project ideas for a specific domain or technology. [‘Domain’]
CONCLUSION
To summarise, Google Bard is another fantastic tool for enhancing productivity and effectiveness.
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The cheat sheet, download it and keep it as a reference:
Google Bard outperforms ChatGPT in some use cases/tasks. Check out my recent blog post, where I have thoroughly examined the use cases of these two LLM tools, ChatGPT vs Google Bard and highlighted their strengths in specific domains.
Check out my other blog posts for top tried and tested AI tools for different jobs and roles: https://medium.com/@anishsingh20.
If you enjoyed this blog post and this cheatsheet, don’t forget to follow my blog for more such awesome cheatsheets and content related to AI tools and technologies.
For more exciting AI content and collaborations, follow me on GitHub and LinkedIn.
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Let’s harness the power of AI and create a better future.
