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From Copilot to Autopilot – How AI Coding Tools...

From Copilot to Autopilot – How AI Coding Tools Are Transforming the Developer Role | Global AI Bootcamp 2025

AI-powered coding tools like GitHub Copilot, Cursor, bolt.new, and v0 are rapidly changing software development. They write code, suggest optimizations, and automate entire workflows – but what does this mean for us as developers?

Is the role of software developers at risk, or does AI open up new opportunities? This keynote explores how AI coding tools are reshaping our daily work, which skills will be essential in the future, and how you can future-proof your career. Discover how to leverage AI to work more productively, increase your value, and actively shape your professional path.

Daniel Sogl

March 15, 2025
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  1. From Copilot to Autopilot How AI Coding Tools Are Transforming

    the Developer Role Daniel Sogl @sogldaniel Sofware architect
  2. Daniel Sogl • Software architect @ Thinktecture AG • Focus:

    Angular, Capacitor and AI-Coding • Socials: https://linktr.ee/daniel_sogl About me
  3. • 76% of developers actively use or plan to use

    AI tools (Stack Overflow, 2024) • 46% of developers use GitHub Copilot (JetBrains, 2024) • Forecast: 75-85% of developers will work with AI-supported tools by 2028 (Gartner) AI in Developer Daily Life – Current Statistics https://stackoverflow.blog/2024/05/29/developers-get-by-with-a-little-help-from-ai-stack-overflow-knows-code-assistant-pulse-survey-results/ https://blog.jetbrains.com/team/2023/11/20/the-state-of-developer-ecosystem-2023 https://www.capgemini.com/de-de/news/pressemitteilung/studie-generative-ki-in-der-software-entwicklung
  4. • Integration directly into development environments (IDE, CLI) • AI

    first IDEs like Cursor or Windsurf gaining more market shared • Taking over repetitive tasks (boilerplate code, standard functions) • Developers become curators and controllers rather than mere coders How AI is Transforming Developer Workflows "AI shifts developers towards more sophisticated tasks such as architecture planning, code reviews, and creative problem-solving." (Capgemini Research Institute, 2023) https://www.capgemini.com/wp-content/uploads/2024/04/Low-resolution-24Oct2024-Conversations-for-tomorrow_Edition_9_Report-V1.pdf
  5. Full-stack applications with a user-friendly approach • User friendly interface

    for nontechnical users • Chat mode to plan before act • Strong Supabase integration for authentication and databases • Optimized for team collaboration with GitHub- first workflows Trade-offs: Opinionated architecture and message-based pricing Tool Spotlight: Lovable.dev
  6. • Core competencies remain programming knowledge and technical understanding •

    New requirements: Effective prompting, reviewing AI outputs, debugging, and quality assurance • Emerging roles: Gen-AI developer, Prompt Engineer, AI Systems Architect Skills Developers Will Need in the Future "57% of developers state that AI actively helps them acquire new skills and programming languages.” (GitHub Copilot Study, 2023) https://github.blog/news-insights/research/survey-reveals-ais-impact-on-the-developer-experience
  7. • Tasks completed 55% faster with GitHub Copilot (GitHub study)

    • Developers accomplish an average of 26% more tasks per week (MIT, Microsoft, 2023) • Reduction in mental fatigue and burnout risk through AI support AI and Productivity – Facts & Insights "AI-assisted coding not only increases output but also enhances developer satisfaction and creativity in the long run.” (GitHub Copilot Study, 2023) https://github.blog/news-insights/research/survey-reveals-ais-impact-on-the-developer-experience/ https://arxiv.org/abs/2302.06590
  8. • Potential for technical debt and reduced maintainability due to

    poorly managed AI-generated code • Usage of outdated APIs because of old training data • Unable to use private frameworks and documentations without extra effort • Significant increase in "Code Churn" and "Duplicate Code" reported in some projects (GitClear Report, 2025) • AI often struggles with complex, highly contextual problems Risks and Challenges of AI in Coding https://www.gitclear.com/blog/gitclear_ai_code_quality_research_pre_release
  9. The all-inclusive AI Coding toll • Can be used accross

    multiple IDEs (VS-Code is recommended) • Free to use / 10$ per month for the pro version • Provides chat, edit and agent mode (currently in preview) • Inline autocompletion • Povides different LLMs (4o, o1-mini, Sonnet, etc.) Trade-offs: Unable to use external context or MCP integrations Tool Spotlight: GitHub Copilot – Edit/Agent Mode
  10. System-level AI assistance with deep IDE integration • Integrated as

    VS Code plugin • On-device processing • Optimizes cost efficiency with model switching (e.g., DeepSeek for planning, Claude 3.5 Sonnet for execution) • Offers Plan/Act modes for controlled AI execution • Provides a checkpoint system beyond Git • Memory-Bank for progress tracking • MCP (Model Context Protocol) support for browser and tooling integration Trade-offs: Requires cost management and is unable to provide code completion Tool Spotlight: Cline
  11. • 80% of companies are increasing investments in generative AI

    (Capgemini Research, 2023) • 63% of developers use AI tools partially without official corporate approval (Capgemini Research, 2023) • Companies increasingly implement clear guidelines and dedicated training programs • EU AI Act requires companies to train employees Corporate Perspective on AI Adoption "AI is becoming integral to development processes – companies view AI as an opportunity for innovation, efficiency, and quality improvement.” (Capgemini, 2023) https://www.capgemini.com/wp-content/uploads/2024/07/Generative-AI-in-Organizations-Refresh-1.pdf
  12. • Junior developers shifting from writing code to reviewing and

    enhancing AI-generated code • New specialized roles emerging: AI Trainers, Prompt Engineers, and AI Data Curators (Gartner, 2023) • Developers evolving into strategic system thinkers and AI managers Future of the Developer Role – Predictions "Developers will increasingly become system thinkers and strategic problem solvers due to AI." Thomas Dohmke, CEO GitHub (GitHub Universe, 2023) https://www.youtube.com/playlist?list=PL0lo9MOBetEGF_pCQVCc_3z36ihKSolLC
  13. • The developer role will not disappear but significantly transform,

    becoming more strategic and valuable • AI tools enhance productivity, freeing developers for creative problem-solving and strategic tasks • Developers who proactively embrace AI and continually expand their skills will positively shape their future Conclusion – The Future Developer Role "AI will not replace developers. It will empower them, allowing them to focus on what truly matters – creativity, innovation, and problem-solving." Satya Nadella, CEO Microsoft (Microsoft Ignite, 2023) https://news.microsoft.com/de-de/microsoft-ignite-2023-neue-technologie-fuer-die-ki-transformation/