AI can be used in software development for various purposes apart from code generation.
One use case is turning meetings into releases by using AI transcript tools to summarize and convert meeting transcripts into technical specifications and implementation plans.
Another use case is adding context to issues by having AI search codebases for relevant files and similar issues and automatically adding comments with more in-depth briefs.
AI can also be used for self-healing CI/CD by having it monitor pipelines, analyze logs, generate troubleshoot reports, and suggest or commit fixes.
Lastly, AI can generate changelog reports by pulling information from PRs and issues to provide stakeholders with an overview of updates and changes.