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More code than ever is headed to production, while less and less of it is written by, or even looked at, by human developers. Without modern tools and techniques – from DevOps and automation, to progressive delivery and continuous testing – AI brings more risks than benefits to your business. Which is why high-performing teams are only going to get faster and stronger with the influx of AI — while the rest risk getting left behind.
Organizations must strategically leverage an internal developer platform and even AI to put up guardrails along golden paths, so the most compliant and secure route to achieve anything in the software delivery lifecycle becomes the simplest.
Learn from organizations that already have these engineering best practices down, about how they are able to more quickly adopt and deploy AI — to move faster without breaking things.
Key learnings:
How and when to inject AI to aid across the software development lifecycle
The case for platform engineering with guardrails
How to reduce the blast radius of any change
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