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To ship to production, teams engage with Notion, Jira, Gitlab, CodeDeploy, CloudWatch, Datadog and many more.
Until now, no AI is able to operate across common engineering tools.
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Developers mostly use AI to write and test code. But there is so much more to shipping software.
Developers have no AI assistance in shipping and operating software in production.
Current AI tools are reactive to prompts to solve specific problems and require repetitive instructions.
The value of AI tools depends on how well Developers are able to specify instructions.
When you work out new products for your customers, Continuous AI will build up context and take on paper cut tasks. Continuous AI can create Stories in your project management software like Jira, create progress reports and status updates.
Throughout a project, Continuous AI creates and maintains quality Stories and records. Your teams can configure templates and how its interacting with Continuous AI per project.
For every Story, Continuous AI can make Code suggestions and review Code while having full context. Continuous AI uses Coding Best Practices that can be configured for each project.
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Continuous AI tracks deployments for each Commit and monitors related metrics for issues. Teams get insight into deployment status at Project level or higher granularity and helps planning next steps.
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