AI and the Future of Devs: Nakov @ Techniverse (Nov 2024)
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Programming with AI: Trends for the Software Engineering Profession In this discussion, Dr. Nakov talks about the profession of "software engineer" and its future development under the influence of artificial intelligence and modern AI tools. He showcases tools such as conversational AI chatbots (like ChatGPT and Claude), AI coding assistants (like Cursor AI and GitHub Copilot), and autonomous AI coding agents (like Replit Agent and Bolt.new) for independently building end-to-end software projects. He discusses the future role of programmers and technical specialists. Contents: AI Tools for Developers: Evolution AI Chatbots for Coding (ChatGPT, Claude) AI Coding Assistants (Cursor, GitHub Copilot, Tabnine) AI Developer Agents (Devin, Code Droid, AutoCodeRover) AI as a Tool for Developers, not a Replacement Shifting Developer Skillsets to Adopt AI Developer Job Market: Evolution Speaker: Svetlin Nakov, PhD Date: 30-Nov-2024 Event: Techniverse 2024
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AI and the Future of Devs: Nakov @ Techniverse (Nov 2024)
- 1. https://ai.softuni.bg Co-Founder, Innovation and Inspiration Manager @ SoftUni Head of the "SoftUni AI" Project Svetlin Nakov, PhD AI and the Future of Software Developers
- 2. 2 • AI Tools for Developers: Evolution • AI Chatbots for Coding (ChatGPT, Claude) • AI Coding Assistants (Cursor, GitHub Copilot, Tabnine) • AI Developer Agents (Devin, Code Droid, AutoCodeRover) • AI as a Tool for Developers, not a Replacement • Shifting Developer Skillsets to Adopt AI • Developer Job Market: Evolution Table of Contents
- 3. 3 • Software engineer, educator, entrepreneur, AI enthusiast, author of 16 books, PhD nakov.com • 4 successful tech education initiatives • National Academy for Software Development (NASD) – 2004 • Telerik Software Academy – 2009 • SoftUni (Software University) – 2014 • IT High School "SoftUni Buditel" – 2018 About Svetlin Nakov
- 4. Conversational AI Chatbots AI Coding Assistants AI Dev Agents Evolution of AI-Powered Coding
- 5. • AI-powered development tools are getting better and better over the time • How AI helps developers today? • AI-powered auto-complete: smart code completion • Automation of coding tasks: refactoring, bug fixing, code generation • Automated test writing and with auto code coverage • Explanation of code: on-demand AI-generated documentation • Auto code reviews and AI security checks AI Tools for Developers are Improving! 5
- 6. 6 Evolution of AI-Powered Coding • Layers of AI-powered coding: AI Chatbots (like ChatGPT) AI Coding Assistants (like Cursor) AI Developer Agents (like Devin)
- 7. ChatGPT, Claude and Others AI Chatbots for Coding
- 8. 8 • Conversational AI (like ChatGPT and Claude) write code from text prompts • Leaders: • Claude 3.5 Sonnet • ChatGPT 4o • ChatGPT o1 • Qwen2.5-72B • See https://livebench.ai AI Chatbots for Coding Get Smarter
- 9. 9 • Writing code by text prompts with AI chatbots (like ChatGPT and Claude) • AI prompt get the code copy/paste it into your project → → • Copy/pasting is not quite efficient • Conversational AI chatbots are the underlying building blocks of AI-powered code assistants • Leaders: Claude 3.5 Sonnet, ChatGPT 4o and ChatGPT o1 • AI prompts don't work well for large and complex projects, with legacy code and many dependencies AI Chatbots for Coding Get Smarter
- 10. Claude 3.5 Sonnet – Example 10
- 11. 11 Falling Rocks Game by Claude https://claude.site/artifacts/4e9e7e15-52a3-47ac-acd5-d741ab21c3b3
- 12. 12 Credit Calculator (by Claude) https://claude.site/artifacts/ca5e00c2-22d7-4388-b3b9-0e9bb76f5cfc
- 13. 13 Cursor, GitHub Copilot, Aide, Tabnine AI Coding Assistants
- 14. 14 • AI-powered dev assistants integrate into your IDE and interact with your entire codebase through prompts AI Coding Assistants (like Cursor AI)
- 15. • Popular AI-powered coding assistants: • Cursor AI, GitHub Copilot, Tabnine, Aide • Writing code through AI prompts: • AI prompt create and implement a plan review → → code changes accept changes test the code → → • Sample prompts: • create form: customers (name, phone, email) • add DB table customers • implement controller to save form data to DB AI Coding Assistants in Action 15
- 16. 16 Cursor AI in Action
- 17. Devin, Code Droid, Replit Agent, Bolt.new, … AI Developer Agents 17
- 18. • AI developer agents fully autonomous development → • Create end-to-end projects through AI prompts: • Describe the task / project / issue create plan auto → → execute the plan generate the code and other assets → → run and test the project bug fixes pull request → → • Examples: Bolt, Relit Agent, Code Droid, AutoCodeRover, Honeycomb, Genie, SWE-Agent, Devin, Devika, Gru, Aider • Benchmarking at SWE-Bench: https://swebench.com AI Developer Agents 18
- 19. 19 AI Developer Agent – Example
- 20. • How far are we from AI agents handling large projects autonomously? • Depends on the project! • New or existing codebase • Well-described or briefly described • Small or large / simple or complex • Standard or not standard functionality • Programming languages, frameworks and platforms AI Developer Agents: When? 20
- 21. 21 Not a Replacement! AI is a Tool for Developers
- 22. 22 • AI tools (dev assistants and coding agents) empower developers, don’t replace them! • Developers are still needed to drive the dev process • Developers are essential for guiding the AI, setting objectives, checking results and solving complex task • Importance of human oversight: biases in code generation, conformance to requirements • Often requirements are not well defined developers → act as analysts, actively communicate with stakeholders AI is a Empowers, Don't Replace Devs!
- 23. 23 • Software development requires human skills like: • Communication and collaboration: need to collaborate effectively with stakeholders • Critical thinking and problem-solving: creative solutions, adapting to challenges, and understanding complex problems and environments • Domain expertise: a deep understanding of the specific problem domain Humans in the AI-Development Era
- 24. 24 From Writing Code to Writing Prompts Shifting Developer Skillsets
- 25. 25 • Coding skills transforms: • From “writing code letter by letter” to “crafting AI prompts to generate code” • The future of software developers is: • Collaboration with AI tools and agents • Merging all tech roles into • a unified profession "end-to-end dev" Shifting Developer Skillsets
- 26. 26 • Developers will work together with modern AI tools, integrating them into their workflows • AI takes over more routine tasks • Developers will need to focus on higher-level skills • Merging most tech roles into single "end-to-end dev" profession • New end-to-end devs == business analyst + UI/UX + back-end dev + front-end dev + DevOps + automation QA + BI expert + … • Statistics: 97% of US-based developers already using AI-powered coding to ols at work Shifting Developer Skillsets
- 27. 27 Traditional vs. Modern Developer Skillset Aspect Traditional Developer Modern Developer (with AI) Focus Writing and debugging code manually Guiding AI to generate and refine code Core Skills Programming languages, debugging AI tool proficiency, prompt engineering Task Automation Manual refactoring and testing AI-driven automation for routine tasks Problem Solving Hands-on problem solving and debugging AI-assisted problem-solving Code Reviews Manual peer review AI-powered code review and optimization Documentation Manually written AI-generated and updated dynamically Skill Development Focus on coding mastery Focus on integrating AI tools Error Handling Manual bug fixing AI-aided error detection and resolution
- 28. 28 • AI-enhanced developer – collaborates with AI tools for code generation, testing, and debugging • AI tool integrator – ensures seamless integration of AI assistants into development workflows and IDEs • AI development manager – manages AI-driven dev projects, coordinating between human developers and AI agents • AI code auditor – reviews AI-generated code for quality, security, and compliance • AI integration specialist – integrate AI technologies into New Roles in Software Development
- 29. Evolution towards AI-Assisted Development Developer Job Market
- 30. 30 • The demand for developers is unlikely to decrease • Developer performance will improve, but demand for software will also increase • The nature of the development work will evolve towards AI-assisted development • Developers who adopt AI-assisted development, will be the winners in the AI era • AI-powered low-code platforms will create basic apps through AI prompts, visual UI and pre-built components Developer Job Market – Evolution
- 31. A comprehensive training program for applying AI in business and everyday life SoftUni AI https://ai.softuni.bg Enroll for the free "AI Basics" course now:
- 32. © SoftUni AI – https://ai.softuni.bg. Copyrighted document. Unauthorized copy, reproduction or use is not permitted. ? ? ? Questions?