A view of data: Blogs, forums and rise of LLM vehicles

Connection table

Summary and 1 Introduction

2. Previous conceptualization of smart help for programmers

3. A short look at big language models for code production

4. Commercial programming tools using large language models

5. The reliability of Code Producing AI models, security and safety effects

6. Usability and Design Studies

7. Experience Reports and 7.1. It is hard to write effective demands

7.2. Programming activity, control and familiar error shifts towards discovery

7.3. These vehicles are more

8. Inadequacy of metaphors for AI supported programming

8.1. AI assistance as a search

8.2. AI assistance as a compilation

8.3. AI assistance as double programming

8.4. A different way to programming

9. Problems with Application to End User Programming

9.1. Issue 1: Intention specification, Problem Discrimination and Calculating Thinking

9.2. Issue 2: Code accuracy, quality and (extreme) confidence

9.3. Issue 3: Code Understanding and Maintenance

9.4. Issue 4: Results of Automation in End User Programming

9.5. Issue 5: No code and the dilemma of direct answer

10. Result

A. Experience the report sources

References

A. Experience the report sources

This annex includes a list of resources we draw for quotes and analyzes in Chapter 7. While all sources are included in our analysis, we did not draw direct quotes from each source on this list.

A.1. Blog Publications and Related Hacker News Discussions

1. Andrew Mayne, March 17, 2022, ıs Build games and applications through natural language using Openai’s code-behavior ”. Url: . Hacker News Discussion: https://news.ycombinator.com/item?id=30717773

2. Andrew Moubounsin, March 24, 2022, “Creating a modern machine learning model by chatting with Github Copilot”. URL: https://www.surgehq.ai/blog/building–no-code-toxicity-classifier-by-toning Hacker News Discussion: https://news.ycombinator.com/item?id=30797381

3. Matt Rickard, August 17, 2021, “A Bear to Use Github Copilot”. Url: https://matt-rickard.com/github-copilot-a-month-in/.

   Nutanc, November 15, 2021, “To get tweets for a keyword and find each tweet’s feelings in 2 minutes to use Github Copilot”. Url: https://nutanc.medium.com/using-github-copilot-to-ger -for

4. Tanishq Abraham, 14 July 2021, “Coding with Github Copilot”. Url: https://tmabraham.github.io/blog/github_copilot.

5. Aleksej Komnenovic, January 17, 2022, ın Do not fully trust AI in his giant work! /Yet ”. Url: https://akom.me/dont-ulle-trust-i-in-de-work-t.

A.2. Various Hacker News Discussions

1. https://news.ycombinator.com/item?id=30747211

2. https://news.ycombinator.com/item?id=31390371

3. https://news.ycombinator.com/item?id=31020229&p=2

4. https://news.ycombinator.com/item?id=29760171

5. https://news.ycombinator.com/item?id=31325154

6. https://news.ycombinator.com/item?id=31734110

7. https://news.ycombinator.com/item?id=31652939

8. https://news.ycombinator.com/item?id=30682841

9. https://news.ycombinator.com/item?id=31515938

10. https://news.ycombinator.com/item?id=31825742