Future of software development with generative AI

Future of software development with generative AI

1. 1. Generative AI in Software Development

   • Major disruption in the field of software development.
   • Automates tasks, increases productivity, and reduces costs.
   • Automates tasks, increases productivity, and reduces costs.
   • Ethical, educational, and regulatory concerns arise.

2. 2. AI's Impact on Software Development

   • AI tools like large-language models (LLMs) and GPT-based services are transforming the industry.
   • New roles are emerging, some traditional roles may be replaced.
   • AI enhances code discovery, generation, optimization, testing, and documentation.
   • Potential job losses but also improvements in productivity and quality.

3. 3. Automation with AI

   • Automation with AI
   • Tools like Lean, Agile, and DevOps have been enhanced by AI for efficiency.
   • AI tools increase developer productivity by automating repetitive tasks.
   • Challenges with tasks requiring creativity and complex problem-solving.

4. 4, Scenarios for Software Development

   • Scenario 1: Traditional software development with human oversight.
   • Scenario 2: AI assists humans in automating repetitive tasks.
   • Scenario 3: AI takes over selected roles; humans focus on complex tasks.
   • Scenario 4: AI controls most development tasks, with humans overseeing quality, security, and control.

5. 5. Scenario Applications

   • Legacy systems: AI helps with understanding, debugging, and maintaining older systems (Scenario 1 → Scenario 2).
   • New products: AI can fully automate code generation, debugging, testing, and deployment (Scenario 2 → Scenario 3 → Scenario 4).
   • Networked applications: AI used for designing, optimizing, and maintaining performance (Scenario 2 → Scenario 3).
   • Specialized SDOs: AI automates operational tasks in real-time, with human oversight (Scenario 1 → Scenario 2 → Scenario 4).

6. 6. Considerations Beyond Software Development

   • Generative AI influences business models, UX, and engineering.
   • New business models emerge using autonomously generated content (e.g., music, images, games).
   • Risks related to business dynamics, workforce changes, and liabilities.

7. APA reference

   • Sauvola, J., Tarkoma, S., Klemettinen, M., & et al. (2024). Future of software development with generative AI. Automated Software Engineering, 31(26). https://doi.org/10.1007/s10515-024-00426-z