AI or Not AI? We Are the AI That Replaces Devs, We...
summary
A team reports on hands-on experiments with generative AI tools applied to software development, testing multiple products across different developer profiles, projects, and technologies. They summarize practical findings about where generative AI helps or fails in coding, testing, deploying and debugging, and offer concrete convictions about how workflows and practices should evolve for effective human–AI collaboration.
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chapters (14)
- 0:00Introduction
- 3:13What is an LLM?
- 5:20Communication paradox
- 7:48LLM limits and disappointments
- 8:29How AI helps developers
- 11:19Code autocompletion stress
- 13:03Test generation and docs
- 15:33Modernizing code with AI
- 19:54Sopra Steria experience
- 25:40AI training and adoption
- 29:54AI risks and limits
- 33:25Data quality and bias
- 36:36AI in craft and eco-design
- 40:26Conclusion and AI control
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