AI-generated Key Takeaways
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The 2018 Google Code-in featured a variety of tasks for students, including coding, documentation/training, outreach/research, quality assurance, and design.
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Coding tasks ranged from adding features to applications to creating new activities and improving existing functionalities.
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Documentation/training tasks involved creating lesson plans, tutorials, and screencast videos.
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Outreach/research tasks focused on writing blog posts, designing banners, and conducting research on AI topics.
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Quality assurance and design tasks involved creating A/B tests, adding style checks, designing logos, and creating icons.
Below are some tasks that were selected from the 2018 contest by last year's winners as good examples of the types of tasks students can choose to work on during the contest.
Coding
- Add feature to Maps application
- Fabrik - Add backend support for maintaining dashboard for a user
- Create a new activity for Sugarizer
- Agora-web Display election detail during voting
- Style FedoCal
- Tic Tac Toe (advanced with AI)
- World Generation Chain (IV) - ADVANCED: Create an "alternative dimension" layer and a way to get the player there
Documentation/Training
- Mastering the art of version control: Learn Git
- Music Blocks Lesson Plan
- SUSI.AI (Advanced): Create a Screencast Video and Show How to set up SUSI Server on Google Cloud with Kubernetes
- Improve world generation tutorial: biomes
- Write a page describing different tags used at github repositories like GCI, outreach
Outreach/Research
- AI - Hard Find out a way to get a current topic based on captions and implement it.
- Agora - Write a blog post about the use cases of various voting algorithms
- Design a kakemono or roll-up banner for Haiku
Quality Assurance
- Fabrik Create an A/B Test for any feature that needs to be improved
- Add commit message style check
- Bug: A specific file from Korea that doesn't work
- Let's make it easy to catch errors - Lead Management Android
- Creation testing for Release Model in ns-3 AppStore