A presentation at The Shift Summit in in Malmö, Sweden by Petyo Dimitrov
H OW I L EARNED TO S TOP WORRYING A ND LOVE A I-ASSISTED C ODING TOOLS Pe ty o D imitr o v 30th September 2023
About me • 16 years in Software Engineering • Senior Software Architect for Musala Soft / Qinshift • PhD in Computer Science from Technical University Sofia • Lector of course Distributed Systems in Technical University Sofia
Agenda • Initial interest • Reviewed AI-assisted tools • How I use Copilot(X)? • How I use ChatGPT? • How Musala uses AI-assisted tools? • Recent developments • Q&A
Prior to 2021
2022 Copilot initial tests
2023.03 - GPT 4 2022.11 - ChatGPT 2022.03 - GPT 3.5 2021.10 - GitHub Copilot 2021.08 - Codex 2020.06 - GPT-3 (175B) 2019.02 - GPT-2 (1.5B) 2018.02 - GPT-1 (0.1B) 2017 - Transformer with Attention
HackerRank challenge (1)
HackerRank challenge (2) A = 4, K = 5, P = 1
How we are introducing it in Musala 1. 2. 3. 4. 5. 6. 7. 8. Research & pick most promising candidate tools Define questionnaire to assess results Run 1-month trial & collect feedback Research protection mechanisms Identify suitable projects Prepare a list of recommended prompts Require a disclaimer in PR when AI is used Conduct demonstrations and talks to encourage adoption
Reviewed tools GitHub Copilot Codeium AWS CodeWhisperer ChatGPT
How I use Copilot?
Weaker features of Copilot • Inline fixing • Code translation • Refactoring
How I use ChatGPT?
For inspiration
As a Rubber ducky
Writing code in “second” languages
Analyze REST APIs (1)
Analyze REST APIs (2)
Analyze REST APIs (3)
Advanced Data Analysis (1) Display the difference between Main and CountryX and CountryY for the different code types. The numerical values are the number of lines of code.
Advanced Data Analysis (2)
Create diagrams
Generating presentations Generate Python code for creating a PowerPoint presentation on the topic “Basic Python syntax and data types”. Fill in the details with your knowledge. I need 7 slides. Run the code and return the resulting presentation.
Generating presentations
Prompt engineering - Examples or reference
Prompt engineering - Adopt a persona & style Custom Instructions / Roles
Prompt engineering - Step by step
Prompt engineering - Ask questions
Prompt engineering - Reflection
Prompt engineering - Delimiters
Prompt engineering - Periodic summary*
Effects on productivity ~ +5-10%
Musala AI-related projects • Commercial: Retrieval-Augmented Generation (RAG) • Internal: Summarization (interview) • Internal: Code review (practical tasks) • Approach: • ChatBot • API • Local model*
Risks - Devs • Verbose interactions • Hallucinations • Overreliance on the machine
Risks - Data • Leaking proprietary data • Intellectual Property • Siloed solutions by large vendors
Risks - EU AI Act Banned High Limited Low Social credit, realtime biometric Critical, education, law, employment Chatbots, image processing Spam filters, computer games
Latest news November – AWS Gen AI November – 365 Copilot AI Assistant September – Minstral September – ChatGPT Voice & Images September – Copilot Chat* August – Enterprise ChatGPT August – Code Llama (Instruct, Python) July – Llama2 July – Claude2 July – ChatGPT Code Interpreter
Conclusion • A new tool at our disposal like Google & StackOverflow • Only as an assistant • Juniors, Mediors and Seniors benefit differently • Copilot’s advantage is seamless IDE integration • ChatGPT helps with a wider variety of tasks • There are risks & challenges ahead
Questions
Thanks! www.linkedin.com/in/ petyo-dimitrov petyo.dimitrov@musala.com petyo.dimitrov@gmail.com
Everyone in the IT field is already using, has played with or at least heard of the recent buzz surrounding ChatGPT. In this talk, we will explore the fascinating world of AI-assisted coding via ChatGPT, GitHub Copilot, Amazon CodeWhisperer, etc.
We will begin by discussing the technical foundations of these tools and look into their strengths, weaknesses, and how they differ from each other.
Next, I will share my experience in introducing AI-assisted coding in our company, including the process we followed and the challenges we faced. We’ll talk about the impact of AI-assisted coding tools on developer productivity, code quality, and the overall development process.
Finally, we’ll wrap up with some lessons learned and best practices for introducing AI-assisted coding in your own organization.
for free. You
can too.