Hi all, I wanted to get your views and opinions on AI in the SDLC, integrating AI into their software development lifecycle (SDLC). if so, how are you actually using it? Right now I mostly see AI used for:
- code generation / autocomplete
- writing unit tests
- explaining unfamiliar code
- documentation But I’m wondering about the bigger picture. Are teams actually using AI across the whole SDLC yet? For example:
- requirements gathering and business analysis
- architecture decisions
- creating high/low level designs
- code review
- testing strategies
- debugging production issues
- CI/CD automation Or is it still mostly a developer productivity tool rather or even using just using chat agents (with rag) than something that changes the process itself? Also curious:
- What tools are you using?
- What actually works vs. what’s hype?
- Any workflows that significantly improved your team’s velocity? submitted by /u/e-nigmaNL
Originally posted by u/e-nigmaNL on r/ArtificialInteligence
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