Research on Steroids
summary
A history of AI in programming is reviewed, tracing clean‑code origins and showing how generative tools like code assistants are changing daily development; the talk cites a Cornell study that found AI‑assisted code can be 80% less secure, notes developers spend about 14% of their time writing new code and that 95% already use code generation, and gives tooling advice such as using static analysis and IDE checks. A Sonar‑based maintainability taxonomy—consistent, intentional, adaptable, responsible—is presented, with recommendations to use SonarLint/SonarCloud, perform critical code review, and apply refactoring practices.
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chapters (7)
- 0:00Introduction and presenters
- 1:07Overview of AI history
- 9:54History of clean code
- 26:47Clean code for new generation
- 31:04Impact of GenAI on code quality
- 36:37Developer responsibility with AI
- 45:02Q&A session
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