Darmstadt Vorlesung - Vom Code zum Copiloten: Ein Blick auf das Neueste in der KI-Softwareentwicklung

darmstadt_links.md

GitHub Copilot

• https://github.com/features/copilot

Future: GitHub Copilot X

• CoPilot X

  • Copilot Chat: https://github.com/features/preview/copilot-x
  • Copilot Voice: https://githubnext.com/projects/copilot-voice/
  • Copilot Docs: https://githubnext.com/projects/copilot-for-docs/
  • Copilot for PRs: https://githubnext.com/projects/copilot-for-pull-requests/
  • Copilot CLI: https://githubnext.com/projects/copilot-cli/

• Prompt used for Copilot X

Smol AI - Create a full codebase based on a multiple pages long specification

• https://github.com/smol-ai/developer
  • Standalone Go Tool

Experiments for code refactoring, unit tests, creating READMEs, .....

• https://www.simulationcorner.net/__darmstadt__/ (Remove underscores)
• Experiments Code
• https://blog.hackertab.dev/50-chat-gpt-prompts-every-software-developer-should-know-tested

Future: Planning, correction and self-reflection. Can access the Internet

• https://github.com/Significant-Gravitas/Auto-GPT
• https://godmode.space/

Future: AI reads a 240 pages API document and can write code afterwards

• https://www.anthropic.com/index/100k-context-windows

Future: Sketch of of websites is transformed to HTML

• https://www.youtube.com/live/outcGtbnMuQ?feature=share&t=971

Train Code Interviews for your future job

• https://hrmate.co/practice-interview/

Python Tools

• https://blog.google/technology/developers/google-colab-ai-coding-features/
• Aider: AI powered coding in the terminal

Cody, another coding assistant

• https://about.sourcegraph.com/

Code Interpreter as OpenAI plugin

• https://www.youtube.com/watch?v=b9hSCuFGNRU&pp=ygUWUHJvZmVzc29yIHRlc3QgY2hhdGdwdA%3D%3D

PandasAI - How Google sheet or Excel might work with a ChatBot

• https://github.com/gventuri/pandas-ai
• https://medium.com/@fareedkhandev/pandas-ai-the-future-of-data-analysis-8f0be9b5ab6f
  • https://colab.research.google.com/drive/1rKz7TudOeCeKGHekw7JFNL4sagN9hon-?usp=sharing

import pandas as pd
from pandasai import PandasAI

from pandasai.llm.openai import OpenAI
llm = OpenAI(api_token="")
pandas_ai = PandasAI(llm)

df = pd.read_csv('grades.csv')
print(df)
#pandas_ai.run(df, prompt='Who had the best grade and who had the worst grade? The German grading system is used where 1.0 is the best.')
#pandas_ai.run(df, prompt='Show me the histogram of the mark?')
#pandas_ai.run(df, prompt='What is the average mark?')
pandas_ai.run(df, prompt='Who is the closest to the average mark?')

First name,Last name,Grade
Rachel,Booker,1.3
Laura,Grey,4
Craig,Johnson,2
Mary,Jenkins,2
Jamie,Smith,2.3

ChatGPT and Teaching

• Can GPT pass my programming courses?
• The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming
  • https://youtu.be/kvXsKPt3aRM
• texas_am_commerce_professor_fails_entire_class_of
  • https://old.reddit.com/r/ChatGPT/comments/13isibz/texas_am_commerce_professor_fails_entire_class_of/
• ChatGPT und die Logik
• ChatGPT und die Mathematik
• the-end-of-programming-as-we-know-it
• The AI revolution already transforming education

Best Youtube channel for current AI research

• AI Explained

QAware

• https://qaware.de

Personal websites

• https://github.com/s-macke
• https://www.simulationcorner.net