Part 3/12:
Perceived and Actual Impact of AI
Developers identify three core areas where AI is expected to influence the software lifecycle: productivity, efficiency, and learning.
Productivity: While code generation is prominent, developers emphasize that AI's value extends beyond just writing code to include comment generation, code review, testing, and documentation—often neglected in high-velocity environments.
Efficiency: AI can streamline repetitive tasks, such as migrating codebases or refactoring, reducing manual effort and minimizing errors.
Learning: AI acts as a real-time mentor, providing contextual knowledge and best practices, which accelerates onboarding and skill development.