How AI-augmented Software Development Will Impact Testing & DevOps
AI Summary
- AI-augmented software in software development:
- Use of semi-autonomous or autonomous systems for DevOps.
- Systems self-monitor and self-fix issues.
- Human-guided AI development will assist in code suggestions and test template generation.
- Developers will prompt AI to perform tasks, e.g., writing a function to reverse a sentence.
- Automatic testing generation will improve with AI, reducing the need for manual test writing.
- Test-driven development will evolve with AI generating tests from natural language descriptions.
- Future advancements in software engineering tools:
- Work by Professor Talia Ringer at the University of Illinois on proof repair.
- Tools for software verification are currently brittle and expensive.
- Ringer’s work aims to enable developers to verify code for bugs as it’s written.
- The goal is to easily adapt and re-verify code as requirements change without high costs.
- Anticipated impact on software engineering is significant, allowing for more complex projects.