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Platform engineering efforts are born out of the need to boost velocity, reduce cognitive load, and empower developers. But as you scale, and increasing layers of complexity are introduced, so too are workarounds. As organizations fall into patterns that do the exact opposite of what platform engineering set out to achieve, how do you get things back on track?
As more teams, services, consumers, partners, and now AI agents are onboarded, new headaches appear in the form of fragmented tooling, governance considerations, and API sprawl.
This panel discussion breaks down the most common anti-patterns that show up in platform engineering initiatives as they scale, and the workflows you can leverage to help build a platform experience that engineers actually choose to use.
Key takeaways:
- Break the common platform engineering anti-patterns that create sprawl, drift, and delivery friction
- How to bake governance into the development workflow without creating extra burden on developers
- How to standardize testing and contract validation without slowing your teams down
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