You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Revise skills and mentors for GSoC 2026 AI tutor project (#115)
Updated required skills and mentors for the GSoC 2026 project. Enhanced the description of the AI mentor integration and clarified the expected outcomes.
Copy file name to clipboardExpand all lines: pages/development/google-summer-of-code/2026.md
+8-8Lines changed: 8 additions & 8 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -84,20 +84,20 @@ The developer should have knowledge of Flutter. Develop and implement missing to
84
84
{: .label .label-blue }
85
85
86
86
{: .highlight }
87
-
> **Required Skills**: Kotlin, Python, Android AI and ML Tools, Android-Development, Agile Development, Test Driven Development, Clean Code<br>
88
-
> **Possible Mentors**: Paul Spiesberger, Patrick Ratschiller <br>
87
+
> **Required Skills**: Kotlin, Python, JavaScript, Android AI and ML Tools, Android-Development, Agile Development, Test Driven Development, Clean Code<br>
88
+
> **Possible Mentors**: Paul Spiesberger, Wolfgang Slany <br>
89
89
> **Expected Outcome**: An integrated proof of concept AI mentor within PocketCode <br>
90
-
> **Difficulty level**: Advanced
90
+
> **Difficulty level**: Advanced
91
91
92
-
AI is now capable of sophisticated programming and can automate many coding tasks. More importantly, it excels at explaining code to students, making learning more engaging and accessible. Our goal is to integrate an AI-powered mentorinto PocketCode that understands a student’s programming context and offers real-time guidance to enhance learning and coding skills.
92
+
AI is now capable of sophisticated programming and can automate many coding tasks. More importantly, it excels at explaining code to students, making learning more engaging and accessible. Our goal is to integrate our AI-powered mentor, developed during GSoC 2025, into PocketCode. This mentor understands a student’s programming context and provides real-time guidance to enhance learning and coding skills. We already have an existing [AI Tutor SDK](https://github.com/Catrobat/catrobat-ai-tutor) and are now ready to integrate it into PocketCode and its derivatives to test and improve students’ experiences with PocketCode + AI.
93
93
94
94
The AI mentor could:
95
-
- Explain programming concepts, from variables and loops to software design patterns and testing strategies
96
-
- Suggest code from text prompts, help debug issues, and propose project ideas
97
-
- Assist in code architecture, naming conventions, and writing Catrobat language tests
95
+
- Explain programming concepts, ranging from variables and loops to software design patterns and testing strategies
96
+
- Suggest code from text prompts, help debug issues and propose project ideas
97
+
- Assist with code architecture, naming conventions and writing tests in the Catrobat language
98
98
- Explain and translate downloaded projects from other users
99
99
100
-
You won’t need to implement everything—just focus on a part that excites you most! The Catrobat team will provide the initial prompt and necessary API access or local LLMs for support.
100
+
You won’t need to implement everything—just focus on the part that excites you most! The Catrobat team will provide the initial prompt and the necessary API access or local LLMs for support.
0 commit comments